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proc fastclus

59 papers and 2 presentations; 57 titles.

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Conference × Year × Title × Authors Extras Pages
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
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
SGF 2020 Relationship analysis and customer churn forecasting in a financial cooperative institution Carolina Silva,
Brunno Sousa Ramos		 source 7
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Using Cluster Analysis to Maximize Workplace Design Effectiveness Renae Rich source 10
SGF 2017 Optimizing Delivery Routes with SAS Software Ben Murphy,
Bruce Bedford		 source 13
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 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 14
SGF 2016 Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups Paulo Macedo source
zip		 9
MWSUG 2015 Slice and Dice your customers easily by using SAS Clustering Procedures Yanping Shen 9
SGF 2015 An Innovative Method of Customer Clustering Brian Borchers,
Ashlie Ossege		 source 6
SGF 2015 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 source 14
SGF 2015 Multiple Product Affinity Makes Much More Sense Hsin-Yi Wang source 12
SGF 2015 SAS Does Data Science: How to Succeed in a Data Science Competition Patrick Hall source
zip		 11
PHUSE EU 2014 Population Segmentation in a Healthcare Environment MaryAnne DePesquo source
presentation source		 5
SGF 2014 Model Variable Selection Using Bootstrap Decision Tree David J. Corliss source 7
SGF 2014 Selecting Peer Institutions with Cluster Analysis Diana D. Suhr source 12
NESUG 2013 Model Variable Selection Using Bootstrapped Decision Tree David J. Corliss 8
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 Product Affinity Segmentation That Uses the Doughnut Clustering Approach Darius S. Baer,
Goutam Chakraborty		 source 17
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
SGF 2012 CSI: Customer Segmentation Intelligence for Increasing Profits Darius S. Baer source 13
SGF 2012 Dynamically Evolving Systems: Cluster Analysis Using Time David J. Corliss source 9
SGF 2012 The Traveling Salesman Problem: Optimizing Delivery Routes Using Genetic Algorithms Sabah Sadiq source 6
SGF 2012 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Witelson source 15
MWSUG 2011 Dynamically Evolving Systems: Cluster Analysis Using Time David J. Corliss 12
NESUG 2011 Dynamically Evolving Systems: Segmentation and Cluster Analysis Using Time David J. Corliss 11
NESUG 2011 Life in the FASTCLUS: A Data-Driven Approach to Classifying Time Intervals Jedediah J. Teres 4
SGF 2011 Marketing Investment Optimization Framework for AmEx Travelers Cheques, Clustering Consumer Behavior Leveraging SAS/ETS to Uncover Investment Opportunities in an Environment Demanding Quick Decisions Landon Starr,
Pieter van Ispelen		 source 11
NESUG 2010 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Guil Witelson 15
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
SESUG 2010 Using SAS PROC CLUSTER to Determine University Benchmarking Peers Elayne Reiss,
Sandra J. Archer,
Robert Armacost,
Ying Sun		 source 10
SCSUG 2009 SVD Filtered Temporal Usage Pattern Analysis and Clustering Liang Xie 12
SESUG 2006 They Asked for a Segmentation Scheme, Not Clusters Jeff Zeanah,
R. Gary Huff		 source 10
SUGI 2006 Displaying the Similarity of a Case and Matched Controls Robert S. Wilson source 8
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
SESUG 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Kellie M. Poulin,
Allison N. Freeman		 source 10
SUGI 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Allison N. Shubert-Freeman,
Kellie M. Poulin,
Shawn C. Yoder,
Michael R. Morgan,
Jennifer K. Warner		 source 6
SEUGI 2002 Demand Forecasting at Eurostar using Train Classification [presentation] Adeline Laulanie source 11
MWSUG 2001 Seven (plus or minus two) Clusters, A Monte Carlo Study Larry Hoyle 10
SUGI 2001 The FASTCLUS Procedure as an Effective Way to Analyze Clinical Data Lev Sverdlov source 7
SEUGI 2000 Data Mining - an interactive approach to customer database segmentation using recency-frequency-value model [presentation] Stacie Maxey source 20
NESUG 1999 The Results of Cluster Analysis of Clinical Data Using the Fastclus Procedure Lev Sverdlov,
John F. Noble,
Gabriela Nicolau		 9
SUGI 1999 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson source 5
NESUG 1998 Fasclus Procedure To Identify Subtypes Within A Study Population Following Treatment With A New Antidepressant Drug Lev Sverdlov 5
SESUG 1998 An Applicatio.n of Cluster Analysis in the Financial Services Industry Satrsh Nargundkar,
Strategic Decision		 6
PNWSUG 1998 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson 6
NESUG 1997 Clustering for Market Segmentation Frederick E. Pratter 10
SUGI 1996 Pairwise Matching of Sample and Control Groups Using PROC FASTCLUS Kathleen A. Travis,
Stephan Arndt,
Nancy C. Andreasen		 source 5
MWSUG 1995 Matching Observations on Both Continuous and Categorical Variables: A Simple Application of the FASTCLUS Procedure Manuel S. Lombardero 6
SUGI 1995 Matching Observations on Both Continuous and Categorical Variables: A Simple Application of the FASTCLUS Procedure Manuel Lombardero source 6
SUGI 1994 Neural Network Implementation in SAS Software Warren S. Sarle source 23
SUGI 1987 Graphical Displays of Nonhierarchical Cluster Analysis Solutions John M. Larus source 7
SEUGI 1985 The Best Mode of Use for the Cubic Clustering Criterion Jean-Luc Molliere source 23
SUGI 1985 Using SAS Software to Generate Unsupervised LANDSAT Classifications Virginia R. Hetrick,
Kenneth M. Portier		 source 6
SEUGI 1984 Macros for Clustering Large Data Sets when the Number of Clusters is Unknown B. Gerardin,
J. L. Molliere		 source 22
SUGI 1984 Workload Characterization Using PROC FASTCL US H. Pat Artis source 8

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