Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis

Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis

<p/> <p>This paper focuses on the stability-based approach for estimating the number of clusters <inline-formula><graphic file="1687-6180-2004-545761-i1.gif"/></inline-formula> in microarray data. The cluster stability approach amounts to performing clustering...

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Bibliographic Details
Main Authors: Giurc&#259;neanu Ciprian Doru, T&#259;bu&#351; Ioan
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
clustering stability
number of clusters
hierarchical clustering methods
similarity indices
partition-distance
microarray data
Online Access:http://dx.doi.org/10.1155/S1110865704309078

Internet

http://dx.doi.org/10.1155/S1110865704309078

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