Proposal of Clustering Method based on Procrustes Analysis

DOI

Bibliographic Information

Other Title
  • プロクラステス分析を基準とするクラスタリング手法の提案

Description

Recently, a lot of researches that focus on humans' subjectivity have been reported. In these researches, the SD (Semantic Differential) method is one of the most useful methods to quantify the humans' subjectivity. Some methods to compare individuals' impression using SD data have been proposed. This paper proposes the clustering method based on Orthogonal Procrustes Analysis (OPA). The proposed method can cluster the sets of data points based on the similarity of their structures. Therefore, this method can extract subjects among whom the distributed structures of the SD data are similar. This method enables us to compare the similarity/difference of humans' impression and analyze the relationships among the clusters. This paper applies the proposed method to the data group added arbitrary orthogonalization transformation as a preliminary experiment. This paper shows that the proposed method can form appropriate clusters to the objects with unknown shapes without giving prior knowledge about their shapes.

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Details 詳細情報について

  • CRID
    1390282680644894592
  • NII Article ID
    130005035030
  • DOI
    10.14864/fss.21.0.221.0
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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