{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T07:13:38Z","timestamp":1768806818710,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,17]],"date-time":"2019-10-17T00:00:00Z","timestamp":1571270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,17]]},"DOI":"10.1145\/3358331.3358348","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Data Dimensionality Reduction Method Combining Intra-class and Inter-class Distance"],"prefix":"10.1145","author":[{"given":"Suzhi","family":"Zhang","sequence":"first","affiliation":[{"name":"Zhengzhou University of Light Industry, School of Computer and Communication Engineering, Zhengzhou, China"}]},{"given":"Xiaoni","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhengzhou University of Light Industry, School of Computer and Communication Engineering, Zhengzhou, China"}]},{"given":"Penghui","family":"Li","sequence":"additional","affiliation":[{"name":"Zhengzhou University of Light Industry, School of Computer and Communication Engineering, Zhengzhou, China"}]},{"given":"Qiang","family":"Cai","sequence":"additional","affiliation":[{"name":"Beijng Technology and Business University, Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2019,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"409","article-title":"A new approach of microarray data dimension reduction for medical applications","author":"Katole S N","year":"2015","unstructured":"Katole S N , Karmore S P . A new approach of microarray data dimension reduction for medical applications . IEEE , 2015 , pp. 409 -- 413 . Katole S N, Karmore S P. A new approach of microarray data dimension reduction for medical applications. IEEE, 2015, pp. 409--413.","journal-title":"IEEE"},{"key":"e_1_3_2_1_2_1","first-page":"X17305262","article-title":"Integrative sparse principal component analysis","volume":"2018","author":"Fang K","unstructured":"Fang K , Fan X , and Zhang Q . Integrative sparse principal component analysis . Journal of Multivariate Analysis , 2018 :S0047259 X17305262 . Fang K, Fan X, and Zhang Q. Integrative sparse principal component analysis. Journal of Multivariate Analysis, 2018:S0047259X17305262.","journal-title":"Journal of Multivariate Analysis"},{"key":"e_1_3_2_1_3_1","first-page":"394","volume-title":"IEEE","author":"Halder A","year":"2015","unstructured":"Halder A , Hassan S S . Self-organizing feature map and linear discriminant analysis based image segmentation\/\/ International Conference on Futuristic Trends on Computational Analysis & Knowledge Management . IEEE , 2015 , pp. 394 -- 399 . Halder A, Hassan S S. Self-organizing feature map and linear discriminant analysis based image segmentation\/\/ International Conference on Futuristic Trends on Computational Analysis & Knowledge Management. IEEE, 2015, pp. 394--399."},{"key":"e_1_3_2_1_4_1","first-page":"88","volume-title":"IEEE","author":"Wang Y","year":"2010","unstructured":"Wang Y , Zhang Y. Facial Recognition Based on Kernel PCA\/\/ International Conference on Intelligent Networks & Intelligent Systems . IEEE , 2010 , pp. 88 -- 91 . Wang Y, Zhang Y. Facial Recognition Based on Kernel PCA\/\/ International Conference on Intelligent Networks & Intelligent Systems. IEEE, 2010, pp. 88--91."},{"key":"e_1_3_2_1_5_1","first-page":"378","volume-title":"IEEE Computer Society","author":"Wu Q","year":"2018","unstructured":"Wu Q , Qi Z , and Wang Z . An Improved Weighted Local Linear Embedding Algorithm\/\/ 2018 14th International Conference on Computational Intelligence and Security (CIS) . IEEE Computer Society , 2018 , pp. 378 -- 381 . Wu Q, Qi Z, and Wang Z. An Improved Weighted Local Linear Embedding Algorithm\/\/ 2018 14th International Conference on Computational Intelligence and Security (CIS). IEEE Computer Society, 2018, pp. 378--381."},{"key":"e_1_3_2_1_6_1","first-page":"22","volume-title":"IEEE Computer Society","author":"Lihong Z","year":"2011","unstructured":"Lihong Z , Zikui G. Face Recognition Method Based on Adaptively Weighted Block-Two Dimensional Principal Component Analysis\/\/ Third International Conference on Computational Intelligence . IEEE Computer Society , 2011 , pp. 22 -- 25 . Lihong Z, Zikui G. Face Recognition Method Based on Adaptively Weighted Block-Two Dimensional Principal Component Analysis\/\/ Third International Conference on Computational Intelligence. IEEE Computer Society, 2011, pp. 22--25."},{"issue":"02","key":"e_1_3_2_1_7_1","first-page":"235","article-title":"Research on Dimensional Reduction of Sparse Matrix Data Based on Information Entropy","volume":"47","author":"Xing-Gao H E","year":"2018","unstructured":"Xing-Gao H E , Chan-Juan L I , and Rui-Jin W . Research on Dimensional Reduction of Sparse Matrix Data Based on Information Entropy . Journal of University of Electronic Science and Technology of China , 2018 , 47 ( 02 ), pp. 235 -- 241 . Xing-Gao H E, Chan-Juan L I, and Rui-Jin W. Research on Dimensional Reduction of Sparse Matrix Data Based on Information Entropy. Journal of University of Electronic Science and Technology of China, 2018, 47(02), pp. 235--241.","journal-title":"Journal of University of Electronic Science and Technology of China"},{"key":"e_1_3_2_1_8_1","first-page":"696","article-title":"Analysis and the Application for Feature Extraction","author":"Li X","year":"2010","unstructured":"Li X , Lu C. 2D Weighted Linear Discriminant Analysis and the Application for Feature Extraction . IEEE , 2010 , pp. 696 -- 699 . Li X, Lu C. 2D Weighted Linear Discriminant Analysis and the Application for Feature Extraction. IEEE, 2010, pp. 696--699.","journal-title":"IEEE"},{"key":"e_1_3_2_1_9_1","first-page":"300","article-title":"Maximum Margin Criterion Based Band Extraction of Hyperspectral Imagery\/\/ Emerging Applications of Information Technology","author":"Datta A","year":"2014","unstructured":"Datta A , Ghosh S , and Ghosh A . Maximum Margin Criterion Based Band Extraction of Hyperspectral Imagery\/\/ Emerging Applications of Information Technology . IEEE , 2014 , pp. 300 -- 304 . Datta A, Ghosh S, and Ghosh A. Maximum Margin Criterion Based Band Extraction of Hyperspectral Imagery\/\/ Emerging Applications of Information Technology. IEEE, 2014, pp. 300--304.","journal-title":"IEEE"},{"issue":"4","key":"e_1_3_2_1_10_1","article-title":"Marg","volume":"25","author":"Rong H J","year":"2014","unstructured":"Rong H J , Xin D L , Kui L Z , Marg in Discriminant Projection for Dimensionality Reduction. Journal of Software , 2014 , 25 ( 4 ). Rong H J, Xin D L, Kui L Z, et al. Margin Discriminant Projection for Dimensionality Reduction. Journal of Software, 2014, 25(4).","journal-title":"Journal of Software"},{"key":"e_1_3_2_1_11_1","first-page":"2108","volume-title":"IEEE","author":"Pei Y.","year":"2015","unstructured":"Pei Y. Linear Principal Component Discriminant Analysis \/\/ IEEE International Conference on Systems . IEEE , 2015 , pp. 2108 -- 2113 . Pei Y. Linear Principal Component Discriminant Analysis \/\/ IEEE International Conference on Systems. IEEE, 2015, pp. 2108--2113."},{"issue":"9","key":"e_1_3_2_1_12_1","first-page":"2144","article-title":"Dimensionality reduction method based on PCA and KICA","volume":"33","author":"Liang S J","year":"2011","unstructured":"Liang S J , Zhang Z H , and Cui L L . Dimensionality reduction method based on PCA and KICA . Systems Engineering & Electronics , 2011 , 33 ( 9 ), pp. 2144 -- 2148 . Liang S J, Zhang Z H, and Cui L L. Dimensionality reduction method based on PCA and KICA. Systems Engineering & Electronics, 2011, 33(9), pp. 2144--2148.","journal-title":"Systems Engineering & Electronics"},{"key":"e_1_3_2_1_13_1","first-page":"395","volume-title":"IEEE","author":"Yin X H","year":"2016","unstructured":"Yin X H , Lin Y , and Dou Z . The method research of signal recognition based on information entropy and grey relational analysis\/\/ IEEE International Conference on Electronic Information & Communication Technology . IEEE , 2016 , pp. 395 -- 397 . Yin X H, Lin Y, and Dou Z. The method research of signal recognition based on information entropy and grey relational analysis\/\/ IEEE International Conference on Electronic Information & Communication Technology. IEEE, 2016, pp. 395--397."},{"key":"e_1_3_2_1_14_1","first-page":"413","volume-title":"IEEE","author":"Fengxiang J","year":"2008","unstructured":"Fengxiang J , Shifei D , and Jian W . Principal components projection decision-making based on information entropy weight\/\/ Control Conference . IEEE , 2008 , pp. 413 -- 416 . Fengxiang J, Shifei D, and Jian W. Principal components projection decision-making based on information entropy weight\/\/ Control Conference. IEEE, 2008, pp. 413--416."},{"key":"e_1_3_2_1_15_1","volume-title":"Chinese Journal of Computers","author":"Jin-Rong H E","year":"2018","unstructured":"Jin-Rong H E , Ying-Zhou B I , and Li-Xin D . Local Variation Regularized Margin Discriminant Projection . Chinese Journal of Computers , 2018 . Jin-Rong H E, Ying-Zhou B I, and Li-Xin D. Local Variation Regularized Margin Discriminant Projection. Chinese Journal of Computers, 2018."}],"event":{"name":"AIAM 2019: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing","location":"Dublin Ireland","acronym":"AIAM 2019"},"container-title":["Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3358331.3358348","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3358331.3358348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:08Z","timestamp":1750202588000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3358331.3358348"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,17]]},"references-count":15,"alternative-id":["10.1145\/3358331.3358348","10.1145\/3358331"],"URL":"https:\/\/doi.org\/10.1145\/3358331.3358348","relation":{},"subject":[],"published":{"date-parts":[[2019,10,17]]},"assertion":[{"value":"2019-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}