ナガタ　キヨシ   永田　清   経営学部 経営学科   教授

■ 標題   Website evaluation using cluster structures

■ 概要   We propose an evaluation method for website by comparing the structures of clusters resulted from these properties. As the clustering method, here we adopt kernel k-means method, and compare partial clusters derived from term-based property depending on the given sequence of particular terms to definite partial clusters from link-based property. In order to distinguish them, we try to adopt spectral analysis.   Kiyoshi Nagata   単著   Journal of Advances in Technology and Engineering Research   TAF Publishing   5(1),pp.25-36   2019/02

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