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» Resampling for Fuzzy Clustering
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BMCBI
2008
117views more  BMCBI 2008»
13 years 5 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
PR
2002
134views more  PR 2002»
13 years 5 months ago
Interactive clustering and merging with a new fuzzy expected value
7 Major problems exist in both crisp and fuzzy clustering algorithms. The fuzzy c-means type of algorithms use weights determined by a power m of inverse distances that remains
Carl G. Looney
ICAI
2004
13 years 7 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
UAI
2004
13 years 7 months ago
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering
In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...
Xuejian Xiong, Kap Luk Chan
IJIT
2004
13 years 7 months ago
Fuzzy Clustering of Categorical Attributes and its Use in Analyzing Cultural Data
We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entr...
George E. Tsekouras, Dimitris Papageorgiou, Sotiri...