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cluster analysis

145 papers and 25 presentations; 163 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2025 Implementing Sequence Analysis for Life Course Epidemiology in SAS: A Practical Guide Mehrnaz Siavoshi source 7
SESUG 2024 Unveiling the Diagnostic Potential of Radiomics-Based PET and CT Imaging through Statistical and Machine Learning Techniques Mostafa Zahed,
Janet Kireta,
Victor Aderanti,
Maryam Skafyan		 source 21
PharmaSUG CN 2024 Enhancing Patient Profile Visualization through Clustering Algorithms: An Exploration of Smart Data Presentation Techniques Zhengyuan Wen,
Kang Zhao		 source 8
PharmaSUG 2024 Comparison of Techniques in Merging Longitudinal Datasets with Errors on Date Variable: Fuzzy Matching versus Clustering Analysis Huitong Niu,
Yan Wang		 source 11
SESUG 2023 Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics Janet Kireta,
Mostafa Zahed		 source 21
PHUSE US 2023 Cluster analysis vs. graph-based machine learning: the battle of the strongest in pattern recognition Kostiantyn Drach,
Iryna Kotenko		 source
presentation source		 31
PHUSE EU 2022 Aligning Statistical Techniques Between R and SAS - A Practical Example Using Cluster Analysis [presentation] Stephen Prust,
Mike Cooper		 source 13
SESUG 2022 Data for Good: Statistical Volunteering with SAS and How to Get Involved David J. Corliss source 8
SESUG 2022 Statistical Analysis of School Shootings in the United States as Stochastic Terrorism David J. Corliss source 8
SESUG 2021 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
SGF 2020 Hybrid Marketing, Campaign Management, and Analytics' Last Mile Using SAS Customer Intelligence 360 Suneel Grover source 32
SGF 2020 Relationship analysis and customer churn forecasting in a financial cooperative institution Carolina Silva,
Brunno Sousa Ramos		 source 7
PHUSE US 2020 A Real-world View of Cataracts Jeffrey Headd,
Walter Cedeno		 source
presentation source		 11
PHUSE EU 2019 Sub-population Detection Using Graph-based Machine Learning Sergey Glushakov,
Kostiantyn Drach		 source 28
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SGF 2019 Data4Good helping IOM forecast logistics for refugees in Africa Colin Nugteren source 12
SGF 2019 Kustomizing Your Viya Engine Using SAS Studio Custom Tasks and D3.js Elliot Inman,
Ryan West,
Olivia Wright		 source 16
SESUG 2018 Data Driven Approach in the NBA Pace and Space Era Thomas Ferrara source 6
MWSUG 2018 Analyzing Amazon's Customer Reviews using SAS Text Miner for Devising Successful Product Launch Strategies Manideep Mellachervu,
Anvesh Reddy Minukuri		 13
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PharmaSUG 2018 Statistical Analysis and Visualization of Microbiome data in Clinical Trials Athira Sudhakaran,
Limna Salim		 source 8
SGF 2018 Enhancing Subscription-Based Business by Predicting Churn Likelihood Smitha Etlapur source 12
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
SGF 2018 Text Analysis and Cluster Analysis of Airplane Crashes from 1908 to 2009 [presentation] Ritesh Kumar Vangapalli source 12
SGF 2018 Using Cluster Analysis to Maximize Workplace Design Effectiveness Renae Rich source 10
PHUSE EU 2017 SAS Visual Data Mining [presentation] Andy Bayliss source 3
SGF 2017 Statistical Volunteering With SAS - Experiences and Opportunities David J. Corliss source 8
SGF 2017 Using Segmentation to Build More Powerful Models with SAS Visual Analytics Darius S. Baer,
Sam Edgemon		 source 18
MWSUG 2016 An Innovative Method of Customer Clustering Brian Borchers 6
MWSUG 2016 Statistical Volunteering With SAS - Experiences and Opportunities David J. Corliss 8
SGF 2016 An Analysis of Medicare Provider Utilization and Payment Data: A Focus on the Top 5 DRGs and Mental Health Care Joo Ann Lee,
Micheal Friendly,
Cathy Labrish		 source 28
SGF 2016 Enhanced Segmentation Using SAS Visual Analytics and SAS Visual Statistics Darius S. Baer,
Suneel Grover		 source 19
SGF 2016 Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups Paulo Macedo source
zip		 9
SGF 2016 Reducing and Screening Redundant Variables in Logistic Regression Models Using SAS/STAT Software and SAS Enterprise Miner Xinghe Lu source 10
SGF 2016 Similarity Analysis: an Introduction, a Process, and a Supernova David J. Corliss source 11
SGF 2016 The Application of Fatality Analysis Reporting System Data on the Road Safety Education of US, DC, and PR Minors Molly Funk,
Max Karsok,
Michelle Williams		 source 18
MWSUG 2015 Slice and Dice your customers easily by using SAS Clustering Procedures Yanping Shen 9
PHUSE EU 2015 SAS Software Demonstration - SAS In-Memory Visual Analytics [presentation] Andy Bayliss source 24
SGF 2015 An Innovative Method of Customer Clustering Brian Borchers,
Ashlie Ossege		 source 6
SGF 2015 Applied Analytics in Festival Tourism: A Case Study of Intention-to-Revisit Prediction in an Annual Local Food Festival in Thailand Jongsawas Chongwatpol,
Thanathorn Vajirakachorn		 source 13
SGF 2015 SAS Does Data Science: How to Succeed in a Data Science Competition Patrick Hall source
zip		 11
SGF 2015 Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs Keith R. Holdaway,
Louis Fabbi,
Dan Lozie		 source 20
SGF 2015 Using SAS to Increase Profitability through Cluster Analysis and Simplicity: Follow the Money [presentation] Sherrie Rodriguez source 9
PHUSE EU 2014 Population Segmentation in a Healthcare Environment MaryAnne DePesquo source
presentation source		 5
PharmaSUG 2014 Automate the Process of Image Recognizing a Scatter Plot: An Application of Non-parametric Cluster Analysis in Capturing Data from Graphical Output Zhaojie Wang source 11
SGF 2014 An Ensemble Approach for Integrating Intuition and Models [presentation] Masoud Charkhabi,
Ling Zhu		 source 3
SGF 2014 Customer Profiling for Marketing Strategies in a Healthcare Environment MaryAnne DePesquo source 7
SGF 2014 How to Separate Regular Prices from Promotional Prices? Michael J. Leonard,
Michele A. Trovero		 source 7
SGF 2014 Selecting Peer Institutions with Cluster Analysis Diana D. Suhr source 12
SGF 2014 The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge Roosevelt Mosley,
Nick Kucera		 source 15
SESUG 2013 Explore RFM approaches using SAS Explore RFM source 6
SESUG 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Satish Garla source 15
PHUSE EU 2013 SAS Predictive and Visual Analytics: Software Demonstration [presentation] Andy Bayliss source 9
SGF 2013 Be Customer Wise or Otherwise: Combining Data Mining and Interactive Visual Analytics to Analyze Large and Complex Customer Resource Management (CRM) Data Aditya Misra,
Junyao Ji,
Kam Tin Seong		 source 11
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
SGF 2013 Short-Term Costs of Smoking during Pregnancy: A Geometric Multidimensional Approach Violeta Balinskaite source 11
SGF 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Albert Hopping,
Rick Monaco,
Sarah Rittman,
Satish Garla		 source 15
MWSUG 2012 Applying Analytics to High Performance Customer Profitability Models in Financial Services Tony Adkins,
Gary Cokins		 9
WUSS 2012 Moving Beyond Caveman Communication to Explain the Statistics Behind Your Model:So Easy a PhD Can Do It! Kari Kelso source 9
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
SGF 2012 Applying Analytics to High Performance Customer Profitability Models in Financial Services Tony Adkins,
Gary Cokins		 source 9
SGF 2012 Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions Satish Garla,
Gary Gaeth,
Goutam Chakraborty		 source 8
SGF 2012 Constructing a Credit Risk Scorecard Using Predictive Clusters Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita		 source 13
SGF 2012 Dynamically Evolving Systems: Cluster Analysis Using Time David J. Corliss source 9
SGF 2012 Let Oil and Gas Talk to You: Predicting Production Performance Keith R. Holdaway source 12
WUSS 2011 Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions Satish Garla source 9
PHUSE EU 2011 An Animated Guide: An Introduction to Latent Class Clustering in SAS Russell M. Lavery source 19
MWSUG 2011 Dynamically Evolving Systems: Cluster Analysis Using Time David J. Corliss 12
NESUG 2011 An Animated Guide: An Introduction to Latent Class Clustering in SAS Russell M. Lavery 16
NESUG 2011 Dynamically Evolving Systems: Segmentation and Cluster Analysis Using Time David J. Corliss 11
NESUG 2011 How to Increase Sales of Orthopedic Equipment in United States: Factor and Cluster Analysis Using SAS and R George Obsekov 15
SGF 2011 Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets Dipanjan K. Dey,
Satish Garla,
Goutam Chakraborty		 source 9
SGF 2011 Highlighting Unusual Behavior in Insurance Based on Social Network Analysis Carlos Andre R. Pinheiro source 9
SGF 2011 Multivariate Data Displays for Evaluating Clusters Robert G. Moore source 9
SGF 2011 Scale Measurement: Comparing Factor Analysis and Variable Clustering Albert Liau,
Teck Kiang Tan,
Angeline Khoo		 source 19
SGF 2011 Sentiment Mining Using SAS Text Miner Patricia B. Cerrito,
John C. Cerrito		 source 17
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
NESUG 2010 Modifying Insurance Rating Territories via Clustering Quncai Zou,
Ryan Diehl		 13
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
PHUSE EU 2010 How much is it? Validation of Open-Source Software using the example of R Peter Bewerunge source
presentation source		 7
MWSUG 2010 Multivariate Data Displays for Evaluating Clusters Robert G. Moore 9
SESUG 2010 Using SAS PROC CLUSTER to Determine University Benchmarking Peers Elayne Reiss,
Sandra J. Archer,
Robert Armacost,
Ying Sun		 source 10
SGF 2010 Segmenting Textual Data on Automobile Insurance Claims David Dobson source 9
MWSUG 2008 Data Mining and Analysis to Lung Disease Data Guoxin Tang 9
SGF 2008 New Strategies for Identifying Customer Usage Patterns Barry deVille source 9
SGF 2008 Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry Glendon Cross,
Wayne Thompson		 source 14
SESUG 2007 A METHODOLOGICAL APPROACH TO PERFORMING CLUSTER ANALYSIS WITH SAS William F. McCarthy source 13
SESUG 2007 Example of Longitudinal Cluster Analysis with Dietary Data over Time Robert Bauserman source 10
SESUG 2007 Visual Representation of Longitudinal Change in Cluster Analysis with SAS Robert Bauserman source 7
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
SESUG 2006 Segmentation of Data Prior to Modeling Gregg Weldon source 7
NESUG 2006 Getting to Know Your Customers by Clustering on Product Purchase Patterns James P. Shields 7
SUGI 2006 SAS Web Analytics 5.2 - What's New? Jonathan E. Polito source 19
MWSUG 2005 Calculation Of Health Disparity Indices Using Data Mining And The SAS Bridge To ESRI Mussie A. Tesfamicael 9
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
MWSUG 2005 Mining Transactional And Time Series Data Michael J. Leonard 26
SUGI 2005 Automating Predictive Analysis to Predict Medicare Fraud Christine L. Warner source 9
SUGI 2005 Mining Transactional And Time Series Data Michael J. Leonard,
Brenda Wolfe		 source 26
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
SCSUG 2003 Coding Genetic Algorithm for Cluster Analysis Through Basic Programming Techniques and the SAS Macro Kaveephong Lertwachara 17
SESUG 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Kellie M. Poulin,
Allison N. Freeman		 source 10
NESUG 2003 Using Cluster Analysis for Retail Portfolio Segmentation in an Economic Capital Model: Homogeneity by Common Default Behavior Over Time Shannon Kelly 12
SEUGI 2003 An Analytical CRM System to support Telecom Italia Marketing Actions [presentation] Maria Luisa Pensa source 33
SEUGI 2003 Customer Insight development in Vodafone Italy [presentation] Emanuele Baruffa source 23
SEUGI 2003 Data Mining on an IMS Data Base of Schizophrenic Patients: Assessing Unmet Need and Costs [presentation] Franky De Cooman,
G. Nuyts		 source 17
SEUGI 2003 Optimizing Fraud Management Systems [presentation] Henrik Wagner,
Pushkar Bhat		 source 29
SEUGI 2003 SAS - Analytical CRM for Electricity Utilities [presentation] Ales Rojik source 28
SEUGI 2003 Text Mining for tourism - The world of typical high quality restaurants in Piedmont [presentation] Roberto Fontana source 78
SEUGI 2003 The Data Warehouse Methodology as an input for Data Mining Analysis in Public Health Service [presentation] Nathalie Coue source 51
VIEWS 2003 Understanding Customer Behaviour through the Extraction, Analysis, Reporting and Modelling of Customer Data. Andy Twaits presentation 3
MWSUG 2002 The Wealth of JMP Final Reports Charles E. Shipp,
Kirk Paul Lafler		 5
NESUG 2002 The Wealth of JMP Final Reports Charles E. Shipp,
Kirk Paul Lafler		 5
SEUGI 2002 Implementing BASEL II [presentation] Morgens Kristensen source 25
SEUGI 2002 Implementing BASEL II - What to consider [presentation] Morgens Kristensen source 26
SEUGI 2002 IT as a Driving Force for Business Innovation in Slovak Insurance [presentation] Oto Maly source 49
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
SEUGI 2001 Integrated Customer Call Information [presentation] John Nysse source 45
SEUGI 2001 Kaleidos - A Splash of Colour for the "Silvery Haired" [presentation] Guido Cuzzocrea,
Ignazia Vitali,
Linda Pimpinelli,
Salvina Piccarreta		 source 32
SEUGI 2001 Using SAS Enterpise Miner Analytical CRM in Finance [presentation] Sascha Schubert source 33
PharmaSUG 2001 Use of statistical techniques for tracking patients Franky De Cooman 2
SUGI 2001 Quality Design Based on SAS/EM Wenming Chen source 4
SUGI 2001 The FASTCLUS Procedure as an Effective Way to Analyze Clinical Data Lev Sverdlov source 7
SEUGI 2000 Business Intelligence in Telefonica I+D (R&D) [presentation] Alfredo Jesus Serrano source 32
SEUGI 2000 Data Analysis and Ecological Classification Gabriela Augusto,
Marco Painho		 source 11
SEUGI 2000 Data Driven approach for channel usage segmentation [presentation] Vera Helman source 25
SEUGI 2000 Data Mining - an interactive approach to customer database segmentation using recency-frequency-value model [presentation] Stacie Maxey source 20
SEUGI 2000 Deutche Bank: On-line banking for profit [presentation] Resi Cuypers source 32
SEUGI 2000 Mining in Melodies [presentation] Bulcsu Fajszi,
Laszlo Surjan		 source 19
SEUGI 2000 Show Them Where It's At: Data Mine the Earth's Surface for Locational Significance of What's Hidden in Your Data Warehouse LeRoy Bessler source 18
SUGI 2000 A Methodology for Customer Segmentation Using Existing Product Category Schemes and the SAS System Christopher S. Andrews source 6
NESUG 1999 The Results of Cluster Analysis of Clinical Data Using the Fastclus Procedure Lev Sverdlov,
John F. Noble,
Gabriela Nicolau		 9
SUGI 1999 An Investigation of Quality-of-Life Issues in Patient Treatment Using Enterprise Miner Patricia B. Cerrito,
Kelly McMasters,
Vicki Viar		 source 6
SUGI 1999 Behind Marketing Data Flavio Addolorato,
Silvia Pacei		 source 6
NESUG 1998 Fasclus Procedure To Identify Subtypes Within A Study Population Following Treatment With A New Antidepressant Drug Lev Sverdlov 5
NESUG 1998 Knowledge Discovery: The Seven New Multivariate Identification Model Tools Nicholas Skovran 5
SESUG 1998 An Applicatio.n of Cluster Analysis in the Financial Services Industry Satrsh Nargundkar,
Strategic Decision		 6
SUGI 1998 An Interactive Graphical Interface for Hierarchical Classification of Data Generated through Individual Particle Analysis Kyle E. Thomas,
Art Alexander,
Aamer Raza		 source 4
SUGI 1998 Behind Marketing Data in Financial Industry Flavio Addolorato,
Luigi Ferrari,
Luigi Guastalla,
Luca Bodio		 source 11
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
SUGI 1998 Visually Detecting Fraudulent Doctors in the Medicaid Program Using SAS/GRAPH Software Terry D. Allen,
Glen Buckner		 source 6
SCSUG 1997 Contruction of Inptu for Environmental Simulation Models Using Multivariate Analysis Joaquin Sanabria,
Don Goss		 18
SCSUG 1997 User Publishing with SAS Institue: A Valuable Exchange Hanna Schoenrock 4
NESUG 1997 Clustering for Market Segmentation Frederick E. Pratter 10
SEUGI 1997 Behavioural analysis of retail customers at Banca Commerciale Italiana Flavio Addolorato,
Luca Bodio		 source 10
SEUGI 1997 Social network analysis using SAS/IML software Efraim Darom source 26
SUGI 1997 Data Mining for Hidden Groups in Hospital Populations Anthony M. Dymond source 6
SUGI 1997 The Parameters: A Statistical Methodology to Determine the Profit of Business Activities Ursula Herr,
Giovambattista Giangrieco,
Fabio Zaccaria,
Danilo Ballanti		 source 3
SEUGI 1996 Database marketing with the SAS System Joanna Crosse,
Linda Saul		 source 42
SEUGI 1996 TREEDISC - a method for identifying household segments Sten Sture source 11
SUGI 1996 Conjoint and Beyond: Clustering and Logistic Regression of Attribute Importance Leslie A. Christensen source 5
SEUGI 1995 Identifying Hospital Peer Groups According to Case Mix Peter Benton source 10
SUGI 1995 SAS/GRAPH Odds and Ends; Little Things That Make a Big Difference Arthur L. Carpenter source 6
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1994 Visualization of Scientific Data: Specialty Graphs Without Using Annotate Arthur L. Carpenter source 9
SUGI 1993 The Use of Cluster Analysis in Molecular Design C. Frank Shen,
Kimberly A. Mason,
Alan H. Katz		 source 7
NESUG 1992 Data/Variables Reduction by Principal Componets, Battery Reduction and Variable Clustering Joseph Massoro,
Zhini Zhang		 11
SUGI 1992 Evaluating Export Marketing Decisions Using Cluster Analysis and Correspondence Analysis Marcus Schmidt,
Jesper Strandskov,
Gerald Albaum		 source 5
SUGI 1991 Testing for Cluster Structure before a Cluster Analysis Brian McArdle source 5
SEUGI 1990 The Health Service Pre and Post SAS Software Allen Davis source 10
SUGI 1990 SAS/GRAPH Software and Numerical Taxonomy Dan Jacobs source 6
SUGI 1990 Segmenting the Tourist Market Using Factor Analysis and Cluster Analysis Marcus Schmidt,
Hans Merser		 source 6
NESUG 1989 Displaying Taxonomic Data Anaylses Using SAS/GRAPH Dan Jacobs 7
SUGI 1987 Graphical Displays of Nonhierarchical Cluster Analysis Solutions John M. Larus source 7
SEUGI 1986 Using the ANNOTATE-Facilities to Represent Multivariate Data by Chernoff-Faces' Rainer Ruprecht source 14
SUGI 1985 SAS Procedure for Optimal Presentation of Cluster Profiles Akos Felsovalyi source 6
SEUGI 1983 Cluster Analysis - Procedures in SAS and other Statistical Packages Detlef Steinhausen 9
SUGI 1982 Cluster Analysis by Least Means Warren S. Sarle source 3
SUGI 1982 The Analysis of Ecological Survey Data with SAS and EAP Robert W. Smith source
SUGI 1978 Using Software Physics to Size Workloads with SAS Kenneth W. Kolence source 5

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