直交空間での教師なし類別について
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概要
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It is known that Karhunen-Loeve orthogonal system can be applied to unsupervised clustering. And some results are obtained with the method for unsupervised clustering by the K-L system. But, in the case of the practical patterns, the results are not so much given. So, first the method for unsupervised clustering by the K-L system are explained from the basic points of view. Secondly, an algorithm for the unsupervised clustering are given under the method described above. Finally, the reformed patterns, which were proposed by the author, are used as the practical patterns and computer-simulated experiments are carried into effect in order to test the usefulness of the present method.
- 一般社団法人情報処理学会の論文
- 1973-10-15
著者
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