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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
14 years 2 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
SODA
1998
ACM
113views Algorithms» more  SODA 1998»
14 years 7 days ago
Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
David Eppstein
CAIP
2007
Springer
202views Image Analysis» more  CAIP 2007»
14 years 5 months ago
Segmentation of Distinct Homogeneous Color Regions in Images
Abstract. In this paper, we present a novel algorithm to detect homogeneous color regions in images. We show its performance by applying it to skin detection. In contrast to previo...
Daniel Mohr, Gabriel Zachmann
CORR
2007
Springer
72views Education» more  CORR 2007»
13 years 11 months ago
WACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment—in terms of node mobility as well as in ter...
Matthias R. Brust, Adrian Andronache, Steffen Roth...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 11 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar