身体の背面形状の分類に対する非階層型関数クラスター解析の効果

書誌事項

タイトル別名
  • Advantage of Functional Non-hierarchical Cluster Analysis to Classification of Human Back Shapes

抄録

In health care science, some researchers point out that human posture is related with general physical complaint and/or any diseases. While and objective measurements to human postures as well as their classification and evaluation have been studied in this field, any reliable method has not been established. We measured human back shapes as numerical indices for human posture, and classified them by using method of functional non-hierarchical cluster analysis. Moreover, we applied silhouette statistics to find suitable number of cluster. We proposed statistical analytical process which is able to represent median back shape for each cluster graphically. We could evaluate the numerical characteristics about human back shapes using fitted curve for functional non-hierarchical cluster analysis.

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詳細情報

  • CRID
    1390282680302064512
  • NII論文ID
    130001361994
  • DOI
    10.5057/jjske.10.115
  • ISSN
    18845258
    18840833
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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