Generalized Fuzzy Kohonen Clustering Networks (Special Section on Information Theory and Its Applications)

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概要

• 論文の詳細を見る

• A fuzzy Kohonen clustering network was proposed which integrates the Fuzzy c-means (FCM) model into the learning rate and updating strategies of the Kohonen network. This yields an optimization problem related to FCM, and the numerical results show improved convergence as well as reduced labeling error. However, the clusters may be either hyperspherical-shaped or hyperellipsoidal-shaped, we use a generalized objective function involving a collection of linear varieties. In this way the model is distributed and consists of a series of 'local' linear-type models (based on the revealed clusters). We propose a method to generalize the fuzzy Kohonen clustering networks. Anderson's IRIS data and the artificial data set are used to illustrate this method; and results are compared with the standard Kohonen approach and the fuzzy Kohonen clustering networks.

• 社団法人電子情報通信学会の論文
• 1998-10-25

著者

• HSIEH Ching-Tang

  Department of Electrical Engineering Tamkang University

• Shen Kuang-ming

  Department Of Electrical Engineering Tamkang University

• CHIN Chieh-Ching

  Department of Electrical Engineering, Tamkang University

• Chin Chieh-ching

  Department Of Electrical Engineering Tamkang University

• HSIEH Ching-Tang

  Department of Electrical Engineering, TamKang University

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