Art

J-GLOBAL ID：201302243021840976   Reference number：13A0026300

An Efficient Input Variable Selection for a Linear Regression Model by NC Spectral Clustering

線形回帰モデルにおけるNCスペクトラルクラスタリングを用いた効率的な入力変数選択

Author (3)： FUJIWARA KOICHI (京大) ,  SAWADA HIROSHI (NTT コミュニケーション科学基礎研) ,  KANO MANABU (京大)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 112  Issue： 279(IBISML2012 34-92)  Page： 359-366  Publication year： Oct. 31, 2012 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *regression model ,  clustering ,  Cluster Analysis ,  *partial least squares method ,  pattern recognition ,  *productivity analysis ,  data analysis ,  chemical process ,  *variable selection ,  explanatory parameter ,  *linear regression model ,  *soft sensor ,  prediction accuracy ,  modification ,  *analysis (separation)
Semi thesaurus term： *spectral clustering ,  graph partitioning

JST classification (2)： Statistical quality control  (KB04030W) ,  Measurement,monitoring and instrumentation of chemical process  (XC02030Y)

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Terms in the title (4)： 線形回帰モデル ,  NC ,  スペクトラルクラスタリング ,  変数選択