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
Semi thesaurus term： *variable selection ,  explanatory parameter ,  *linear regression model ,  *spectral clustering ,  graph partitioning ,  *soft sensor ,  prediction accuracy

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

Reference (22)：

• Jaeckle, C. M. Product Design through Multivariate Statistical Analysis of Process Data. AIChE J. 1998, 44, 1105-1118
• Kano, M. Data-based process monitoring,process control, and quality improvement: Recent develop-\ ments and applications in steel industry. Comput. Chem Eng. 2008, 32, 12-24
• Mejdell, T. Estimation of Distillation Compositions from Multiple Temperature Measurements A Using Partial-lieaSt^Squares Regression. Ind. Eng. Chem.Res. 1991, 30, 2543-2555
• Mejdell, T. and S. Skogestad: Composition Estimator in a Pilot-plant Distillation Column Using Multiple Tempera-A tures. ind. Eng. Chem. Res. 1991, 30, 2555-2564
• Kamohara, H. Product Quality Estimation A and Operating Condition Monitoring for Industrial EthylettePrationator. J. Chem, Eng. Japani. 2004, 37, 422-428

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