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» Clustering functional data with the SOM algorithm
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CEC
2008
IEEE
14 years 7 days ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...
IJCNN
2006
IEEE
13 years 11 months ago
Behavior of Fatigable SOM and its Application to Clustering
Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
Masato Tomita, Haruna Matsushita, Yoshifumi Nishio
ISNN
2004
Springer
13 years 11 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
IEAAIE
2005
Springer
13 years 11 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
ICNC
2005
Springer
13 years 11 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao