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» The Practice of Cluster Analysis
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CORR
2010
Springer
81views Education» more  CORR 2010»
13 years 4 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang

Book
412views
15 years 9 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
CC
2007
Springer
118views System Software» more  CC 2007»
14 years 4 months ago
A Practical Escape and Effect Analysis for Building Lightweight Method Summaries
We present a unification-based, context-sensitive escape and effect analysis that infers lightweight method summaries describing heap effects. The analysis is parameterized on two...
Sigmund Cherem, Radu Rugina
IM
2008
13 years 10 months ago
Finding Strongly Knit Clusters in Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...