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CLUSTER ANALYSIS - Sicyon = freeware scientific (VBScript/JScript ...

CLUSTER ANALYSIS 1 What is Cluster Analysis? Cluster Analysis = searching for groups (clusters) in data, in such a way that objects of the same cluster resemble each ...

http://classifion.sicyon.com



A K-means-like Algorithm for K-medoids Clustering - Nicholas Piël

A K-means-like Algorithm for K-medoids Clustering and Its Performance Hae-Sang Park*, Jong-Seok Lee and Chi-Hyuck Jun Department of Industrial and Management ...

http://nichol.as



Chapter 4 Data Analysis and Findings - DLA History - About the ...

Chapter 4 Data Analysis and Findings In this chapter the results of the data analysis are presented. The data were collected and then processed in response to the ...

http://scholar.lib.vt.edu



Density-Based Clustering in Spatial Databases: The Algorithm ...

Abstract. The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to dis-cover clusters of arbitrary shape as well as to ...

http://tin2k50.googlecode.com



Customer Segmentation and Customer Profiling for a Mobile ...

Customer Segmentation and Customer Profiling for a Mobile Telecommunications Company Based on Usage Behavior A Vodafone Case Study S.M.H. Jansen

http://www.personeel.unimaas.nl



(Notes from: Tan, Steinbach, Kumar + Ghosh)

(C) Vipin Kumar, Parallel Issues in Data Mining, VECPAR 2002 2 K-Means Algorithm • K = # of clusters (given); one “mean” per cluster • Interval data

http://www.cs.uvm.edu



Evaluation and Comparison of Clustering Algorithms

1 Evaluation and Comparison of Clustering Algorithms in Analyzing ES Cell Gene Expression Data Gengxin Chen1 <cheng@cshl.org> Work phone: 516-367-6956

http://rulai.cshl.edu



An Introduction to Cluster Analysis for Data Mining

1 An Introduction to Cluster Analysis for Data Mining 10/02/2000 11:42 AM 1. INTRODUCTION ...

http://www-users.cs.umn.edu


 
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