Support vector machine classification for large data sets via minimum enclosing ball clustering

Neurocomputing ◽

10.1016/j.neucom.2007.07.028 ◽

2008 ◽

Vol 71 (4-6) ◽

pp. 611-619 ◽

Author(s):

Jair Cervantes ◽

Xiaoou Li ◽

Wen Yu ◽

Kang Li

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Support Vector Machine Classification ◽

Minimum Enclosing Ball

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Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets

Lecture Notes in Computer Science - MICAI 2006: Advances in Artificial Intelligence ◽

10.1007/11925231_54 ◽

2006 ◽

pp. 572-582 ◽

Author(s):

Jair Cervantes ◽

Xiaoou Li ◽

Wen Yu

Keyword(s):

Support Vector Machine ◽

Fuzzy Clustering ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Support Vector Machine Classification

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Fast Support Vector Machine Classification for Large Data Sets

International Journal of Computational Intelligence Systems ◽

10.1080/18756891.2013.868148 ◽

2013 ◽

Vol 7 (2) ◽

pp. 197-212 ◽

Author(s):

Xiaoou Li ◽

Wen Yu

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Support Vector Machine Classification

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Classifying Very Large Data Sets with Minimum Enclosing Ball Based Support Vector Machine

2006 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2006.1681738 ◽

2006 ◽

Author(s):

Bo Jin ◽

Yan-Qing Zhang

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Minimum Enclosing Ball

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Nonlinear clustering-based support vector machine for large data sets

Optimization Methods and Software ◽

10.1080/10556780802102453 ◽

2008 ◽

Vol 23 (4) ◽

pp. 533-549 ◽

Author(s):

Yongqiao Wang ◽

Xun Zhang ◽

Souyang Wang ◽

K.K. Lai

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

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Multi-Class Support Vector Machines for Large Data Sets via Minimum Enclosing Ball Clustering

2007 4th International Conference on Electrical and Electronics Engineering ◽

10.1109/iceee.2007.4344994 ◽

2007 ◽

Author(s):

Jair Cervantes ◽

Xiaoou Li ◽

Wen Yu ◽

Javier Bejarano

Keyword(s):

Support Vector Machines ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Vector Machines ◽

Minimum Enclosing Ball

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Large data sets classification using convex–concave hull and support vector machine

Soft Computing ◽

10.1007/s00500-012-0954-x ◽

2012 ◽

Vol 17 (5) ◽

pp. 793-804 ◽

Author(s):

Asdrúbal López Chau ◽

Xiaoou Li ◽

Wen Yu

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

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Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2015.2504382 ◽

2017 ◽

Vol 28 (1) ◽

pp. 94-106 ◽

Author(s):

Shengyu Nan ◽

Lei Sun ◽

Badong Chen ◽

Zhiping Lin ◽

Kar-Ann Toh

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Density Dependent

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Support vector machine classifiers for large data sets.

10.2172/881587 ◽

2006 ◽

Author(s):

E. M. Gertz ◽

J. D. Griffin

Keyword(s):

Support Vector Machine ◽

Large Data Sets ◽

Support Vector ◽

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Support Vector Machines on Large Data Sets: Simple Parallel Approaches

Studies in Classification, Data Analysis, and Knowledge Organization - Data Analysis, Machine Learning and Knowledge Discovery ◽

10.1007/978-3-319-01595-8_10 ◽

2013 ◽

pp. 87-95 ◽

Author(s):

Oliver Meyer ◽

Bernd Bischl ◽

Claus Weihs

Keyword(s):

Support Vector Machines ◽

Large Data Sets ◽

Support Vector ◽

Data Sets ◽

Vector Machines

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Improved pruning of large data sets for the minimum enclosing ball problem

Graphical Models ◽

10.1016/j.gmod.2014.06.003 ◽

2014 ◽

Vol 76 (6) ◽

pp. 609-619 ◽

Author(s):

Linus Källberg ◽

Thomas Larsson

Keyword(s):

Large Data Sets ◽

Data Sets ◽

Ball Problem ◽

Minimum Enclosing Ball

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