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INFORMATICALT
2008
124views more  INFORMATICALT 2008»
15 years 3 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
COLT
2010
Springer
15 years 1 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
ICCV
2005
IEEE
16 years 5 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
15 years 9 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
120
Voted
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 7 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