Clustering Time - series Data Based on the Modified Multiscale Matching Technique

• Item type: SIG Technical Reports(1)
• 公開日: 2004-12-05
• タイトル: Clustering Time - series Data Based on the Modified Multiscale Matching Technique
• タイトル / 言語: en
• タイトル: Clustering Time - series Data Based on the Modified Multiscale Matching Technique
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Department of Medical Informatics Shimane University School of Medicine
• 著者所属: Department of Medical Informatics Shimane University School of Medicine
• 著者所属(英): en
• 著者所属(英): Department of Medical Informatics, Shimane University, School of Medicine
• 著者所属(英): en
• 著者所属(英): Department of Medical Informatics, Shimane University, School of Medicine
• 著者名: SHOJI, HIRANO; SHUSAKU, TSUMOTO
• 著者名(英): Shoji, Hirano; Shusaku, Tsumoto
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: This paper presents an improved version of time-series multiscale matching method that eludes the problem of shrinkage. The key idea is the development of new segment representation. The shape parameters of a segment at high scale are now directly obtained using the shape parameters of base segments at the lowest scale instead of using shapes represented by multiscale description. Multiscale shapes are now used only to obtain the hierarchy of the segments; since segment parameters are obtained independently of multiscale shapes shrinkage does not distort them. We examined the usefulness of the method on the cylinder-bell-funnel dataset. The results demonstrated that the dissimilarity matrix produced by the proposed method combined with conventional clustering techniques lead to the successful clustering.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This paper presents an improved version of time-series multiscale matching method that eludes the problem of shrinkage. The key idea is the development of new segment representation. The shape parameters of a segment at high scale are now directly obtained using the shape parameters of base segments at the lowest scale, instead of using shapes represented by multiscale description. Multiscale shapes are now used only to obtain the hierarchy of the segments; since segment parameters are obtained independently of multiscale shapes, shrinkage does not distort them. We examined the usefulness of the method on the cylinder-bell-funnel dataset. The results demonstrated that the dissimilarity matrix produced by the proposed method, combined with conventional clustering techniques, lead to the successful clustering.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11135936
• 書誌情報: 情報処理学会研究報告知能と複雑系（ICS）; 巻 2004, 号 125(2004-ICS-138), p. 147-152, 発行日 2004-12-05
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会