| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-02 |
| タイトル |
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|
タイトル |
Analysis using Adaptive Tree Structured Clustering Method for Medical Data of Patients |
| 言語 |
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|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
YAMAGUCHI, Takashi
ICHIMURA, Takumi
MACKIN, Kenneth J.
市村, 匠
|
| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
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 self-organizing 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. |
| 内容記述 |
|
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内容記述タイプ |
Other |
|
内容記述 |
査読有り |
| 書誌情報 |
4th International Workshop on Computational Intelligence & Applications Proceedings ： IWCIA 2008
p. 139-144,
発行日 2008-12
|
| 出版者 |
|
|
出版者 |
IEEE SMC Hiroshima Chapter |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1883-3977 |
| 権利 |
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|
権利情報 |
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE |
| フォーマット |
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内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
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|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
11-02-SC080003.pdf (318.7 kB)
