Multidimensional scaling method for asymmetric similarity data.
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概要
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Scaling algorithm for asymmetric similarity data is developed, based on the extended model of Krumhansl's distance-density model. The algorithm is constructed using the alternating least squares method, and its efficacy is examined by analyzing several artifitial data and journal citation data given by Weeks and Bentler.
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公益社団法人 計測自動制御学会 | 論文
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