Analysis using Adaptive Tree Structured Clustering Method for Medical Data of Patients with Coronary Heart Disease
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
139-144 頁
2008-12 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00025635
| ファイル情報(添付) | |
| タイトル ( eng ) |
Analysis using Adaptive Tree Structured Clustering Method for Medical Data of Patients with Coronary Heart Disease
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| 作成者 |
Yamaguchi Takashi
Ichimura Takumi
Mackin Kenneth J.
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| 収録物名 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
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| 開始ページ | 139 |
| 終了ページ | 144 |
| 抄録 |
It is known that the classification of medical data is difficult problem because the medical data has ambiguous information or missing data. As a result, the classification method that can handle ambiguous information or missing data is necessity. In this paper we proposed an adaptive tree structure clustering method in order to clarify clustering result of selforganizing feature maps. For the evaluating effectiveness of proposed clustering method for the data set with ambiguous information, we applied an adaptive tree structured clustering method for classification of coronary heart disease database. Through the computer simulation we showed that the proposed clustering method was effective for the ambiguous data set.
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2008-12 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
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