Clustering of clusters

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摘要

An algorithm for the clustering of existing clusters is introduced in this paper. The algorithm was adopted from fuzzy-c-mean and modifications made to take into account the extra information, i.e. some data samples already form clusters. Partition coefficients, together with some other criteria, are used for testing cluster validity. The method was applied on Chinese character recognition and an encouraging result was obtained.

论文关键词:Cluster analysis,Chinese character recognition,Fuzzy-c-mean,Recursive fuzzy-2-mean,Modified fuzzy isodata

论文评审过程:Received 10 October 1990, Revised 10 June 1991, Accepted 20 June 1991, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(92)90102-O