| SESUG |
2024 |
Introduction to Clustering Algorithms |
Jason Brinkley |
source |
10 |
| SGF |
2019 |
Optimization of Biopsies Using Tumor Modeling and Clustering Methods |
Richa Sehgal |
source |
13 |
| SGF |
2018 |
Factors versus Clusters |
Diana D. Suhr |
source |
16 |
| MWSUG |
2015 |
Slice and Dice your customers easily by using SAS Clustering Procedures |
Yanping Shen |
|
9 |
| SGF |
2015 |
Multiple Product Affinity Makes Much More Sense |
Hsin-Yi Wang |
source |
12 |
| SGF |
2014 |
Selecting Peer Institutions with Cluster Analysis |
Diana D. Suhr |
source |
12 |
| SGF |
2013 |
Segmentation and Classification Analysis Using SAS |
Rachel Poulsen |
source |
14 |
| NESUG |
2012 |
Elongated Intersected Clusters and Radial Coordinates Transformation Using SAS |
Alexander Suprun |
|
7 |
| WUSS |
2012 |
Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData |
Rachel Poulsen |
source |
14 |
| SGF |
2012 |
Let Oil and Gas Talk to You: Predicting Production Performance |
Keith R. Holdaway |
source |
12 |
| SESUG |
2011 |
Categorizing the Degradation State of Aircraft Generators using Rank Order Statistics and SAS CLUSTER Procedure |
Tsung-Hsun Tsai |
source |
6 |
| SESUG |
2011 |
Find Potential Fraud Leads Using Data Mining Techniques |
Find Potential Fraud Leads, Qiling Shi, Carrie McBrayer |
source |
6 |
| NESUG |
2010 |
Revealing the Structure of Item Dependency with SAS CLUSTER and TREE Procedures in Educational Testing and Measurement |
Yung-Chen Hsu |
|
6 |
| WUSS |
2010 |
101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 |
Keh-Dong Shiang |
source |
22 |
| WUSS |
2010 |
Analyzing Social Media Tweets with SAS |
Sy J. Truong |
source |
9 |
| 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 |
| SGF |
2008 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta, Eric P. Elkin, Rory Michaelis |
source |
10 |
| 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 |
| WUSS |
2007 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta, Eric P. Elkin, Rory Michaelis |
source |
10 |
| SESUG |
2005 |
Clustering Analysis of Micro Array Data |
John Schwarz |
source |
12 |
| MWSUG |
2005 |
Comparison Of Enterprise Miner And SAS/STAT For Data Mining |
Patricia B. Cerrito |
|
12 |
| MWSUG |
2004 |
Explore, Analyze, and Summerize Your Data with SAS Software:Selecting the Most Appropriate Power Tool from a Rich Portfolio |
LeRoy Bessler |
|
20 |
| SUGI |
2004 |
Segmenting Children's Narratives with PROC CLUSTER: An Application of SAS Tools to Child Language Studies |
Lindsey N. Chen |
source |
7 |
| WUSS |
2003 |
Segmenting Children's Narratives with PROC CLUSTER: An Application of SAS Tools to Child Language Studies |
Lindsey N. Chen |
source |
5 |
| SESUG |
2003 |
An Algorithm for Screening of Genes and Clusters from Microarray Experiments |
James E. Blum |
source |
4 |
| 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 |
Text Mining for tourism - The world of typical high quality restaurants in Piedmont [presentation] |
Roberto Fontana |
source |
78 |
| SEUGI |
2002 |
Demand Forecasting at Eurostar using Train Classification [presentation] |
Adeline Laulanie |
source |
11 |
| WUSS |
2001 |
Profiling Serial Killers |
Karl Glaser |
source |
6 |
| SEUGI |
2000 |
Data Mining - an interactive approach to customer database segmentation using recency-frequency-value model [presentation] |
Stacie Maxey |
source |
20 |
| SCSUG |
1997 |
Contruction of Inptu for Environmental Simulation Models Using Multivariate Analysis |
Joaquin Sanabria, Don Goss |
|
18 |
| NESUG |
1997 |
Clustering for Market Segmentation |
Frederick E. Pratter |
|
10 |
| SEUGI |
1993 |
Extensions to Multivariate Descriptive Analysis |
Yves Roy |
source |
14 |
| SUGI |
1991 |
Using SAS/GRAPH Software to Create Trees that Model Developmental Biological Phenomena |
Perry Watts, Samuel Litwin |
source |
6 |
| SUGI |
1990 |
SAS/GRAPH Software and Numerical Taxonomy |
Dan Jacobs |
source |
6 |
| NESUG |
1989 |
Displaying Taxonomic Data Anaylses Using SAS/GRAPH |
Dan Jacobs |
|
7 |
| SEUGI |
1985 |
The Best Mode of Use for the Cubic Clustering Criterion |
Jean-Luc Molliere |
source |
23 |
| SUGI |
1985 |
SAS Procedure for Optimal Presentation of Cluster Profiles |
Akos Felsovalyi |
source |
6 |
| SEUGI |
1984 |
Macros for Clustering Large Data Sets when the Number of Clusters is Unknown |
B. Gerardin, J. L. Molliere |
source |
22 |
| SEUGI |
1983 |
Cluster Analysis - Procedures in SAS and other Statistical Packages |
Detlef Steinhausen |
|
9 |