PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods

DOI10.1155/2015/320186zbMath1394.68329OpenAlexW2074643356WikidataQ59118000 ScholiaQ59118000MaRDI QIDQ1665360

Longjie Li, Long Zhang, Yang Liu, Hongmei Cui, Yukai Yao, Xiao-yun Chen

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/320186

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

PMSVM

Uses Software

• LIBSVM

Cites Work

• Unnamed Item
• Benchmarking least squares support vector machine classifiers
• A cooperative constructive method for neural networks for pattern recognition
• Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine
• Object classification by fusing SVMs and Gaussian mixtures
• Adaptive pruning algorithm for least squares support vector machine classifier
• Optimal kernel selection in twin support vector machines
• Support-vector networks
• The Top Ten Algorithms in Data Mining

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