Art

J-GLOBAL ID：201802245747341053   Reference number：18A2207134

Accelerating a Lloyd-Type k-Means Clustering Algorithm with Summable Lower Bounds in a Lower-Dimensional Space

下位次元空間における総和可能下界を用いたLloyd型k-meansクラスタリングアルゴリズムの加速

Author (3)： AOYAMA Kazuo (NTT Communication Science Laboratories) ,  SAITO Kazumi (Kanagawa University) ,  IKEDA Tetsuo (University of Shizuoka)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E101.D  Issue： 11  Page： 2773-2783(J-STAGE)  Publication year： 2018 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： limit ,  dimension ,  projection(mathematics) ,  *fast algorithm ,  principal component analysis ,  mathematical transformation ,  clustering ,  *cluster analysis ,  *average method
Semi thesaurus term： *K-means clustering algorithm ,  lower bound ,  image clustering ,  eigenvalue decomposition ,  low dimension

Author keywords (8)： algorithm ,  clustering ,  k-means ,  lower bound ,  singular value decomposition ,  principal component analysis ,  dimensionality reduction ,  performance

JST classification (2)： Other computer utilization technology  (JE14000C) ,  Theory of computation  (JB02000A)

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Terms in the title (5)： 次元 ,  総和 ,  下界 ,  K-meansクラスタリングアルゴリズム ,  加速