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euclidean distance

35 papers and 1 presentation; 36 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2024 Introduction to Clustering Algorithms Jason Brinkley source 10
SESUG 2024 Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging Victor Aderanti source 31
PharmaSUG 2024 Visual discovery in Risk-Based Monitoring using topological models Kostiantyn Drach,
Iryna Kotenko
source 31
PHUSE US 2020 A Real-world View of Cataracts Jeffrey Headd,
Walter Cedeno
source
presentation source
11
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Identifying Semantically Equivalent Questions Using Singular Value Decomposition Varsha Reddy Akkaloori source 6
SESUG 2017 Identifying Semantically Equivalent Questions Using Singular Value Decomposition Varsha Reddy Akkaloori source 7
PHUSE EU 2017 Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets Sergey Glushakov source
presentation source
18
PharmaSUG 2017 Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo
source 20
SGF 2017 Big Value from Big Data: SAS/ETS Methods for Spatial Econometric Modeling in the Era of Big Data Guohui Wu,
Jan Chvosta
source 15
MWSUG 2016 Establishing Similarity of Modeled and Experimental PK/PD Hysteretic Loops using Pseudo Time Series Analysis and Dynamic Time Warping Ron Smith 18
SGF 2015 SAS Does Data Science: How to Succeed in a Data Science Competition Patrick Hall source
zip
11
SGF 2014 Selecting Peer Institutions with Cluster Analysis Diana D. Suhr source 12
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 CSI: Customer Segmentation Intelligence for Increasing Profits Darius S. Baer source 13
SGF 2012 The Traveling Salesman Problem: Optimizing Delivery Routes Using Genetic Algorithms Sabah Sadiq source 6
SESUG 2011 Does SAS Distance Measurement Differ from ArcGIS Distance Measurement? Imam Xierali source 9
WUSS 2011 Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions Satish Garla source 9
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
PHUSE EU 2009 AN ANIMATED GUIDE: MATCHING TEST AND CONTROL SUBJECTS Russell M. Lavery source 21
PharmaSUG 2007 Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies Alejandro Jaramillo 12
NESUG 2006 Calculating Geographic Distance: Concepts and Methods Frank J. Ivis 10
PharmaSUG 2006 A Method/Macro Based on Propensity Score and Mahalanobis Distance to Reduce Bias in Treatment Comparison in Observational Study Wuwei Wayne Feng,
Yu Jun,
Rong Xu
11
SESUG 2005 What Do You Mean You Don't Have SAS!!!?? Using the Power of the SAS Data Step to Create Cluster Scoring Code That Is Not Platform Dependent Bill Hartley source 5
NESUG 2002 An Animated Guide: Matching Test & Control Subjects Russell M. Lavery,
Glenn Abrahamsen
21
WUSS 2001 Macros for Euclidean Distances Robert O. Bernstein source 6
SEUGI 2001 Customer Segmentation and retail product assortment [presentation] Barry Young source 18
SUGI 1999 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson source 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
WUSS 1997 Exploring Ways to Compare Eight Diverse Hospitals Anthony M. Dymond source 6
NESUG 1996 Statistical Analysis of Self-Organizing Maps Susan B. Garavaglia,
Asha Sharma
10
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SEUGI 1993 Extensions to Multivariate Descriptive Analysis Yves Roy source 14
SUGI 1993 Applications of the IML Procedure for Multiple Response Permutation Tests William D. Johnson,
Donald E. Mercante
source 5
SUGI 1985 Multidimensional Scaling Models and Methods for Two-way and Three-way Proximity and Preference Data J. Douglas Carroll source

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