Diagnosing breast cancer based on support vector machines

被引：110

作者：

Liu, HX

Zhang, RS ^{[1
]}

Luan, F

Yao, XJ

Liu, MC

Hu, ZD

Fan, BT

机构：

[1] Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China

[2] Lanzhou Univ, Dept Comp Sci, Lanzhou 730000, Peoples R China

[3] Univ Paris 07, ITODYS 1, F-75005 Paris, France

来源：

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2003年 / 43卷 / 03期

关键词：

D O I：

10.1021/ci0256438

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The Support Vector Machine (SVM) classification algorithm, recently developed from the machine learning community, was used to diagnose breast cancer. At the same time, the SVM was compared to several machine learning techniques currently used in this field. The classification task involves predicting the state of diseases, using data obtained from the UCI machine learning repository. SVM outperformed k-means cluster and two artificial neural networks on the whole. It can be concluded that nine samples could be mislabeled from the comparison of several machine learning techniques.

引用

页码：900 / 907

页数：8

共 50 条

[31] Support vector machines based on scaling kernels [J].

Li, Z ;

Zhou, WD ;

Jiao, LC .

2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II, 2002, :1142-1145

[32] Support vector machines based on subtractive clustering [J].

Xiong, SW ;

Niu, XX ;

Liu, HB .

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, :4345-4350

[33] Nonlinear filters based on support vector machines [J].

Marquez, David A. ;

Paredes, Jose L. ;

Garcia-Gabin, Winston .

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PTS 1-3, 2007, :581-+

[34] Hybrid architecture based on support vector machines [J].

Núñez, H ;

Angulo, C ;

Català, A .

COMPUTATIONAL METHODS IN NEURAL MODELING, PT 1, 2003, 2686 :646-653

[35] Face detection based on support vector machines [J].

Xi, DH ;

Lee, SW .

PATTERN RECOGNITION WITH SUPPORT VECTOR MACHINES, PROCEEDINGS, 2002, 2388 :370-387

[36] Support Vector Machines Based Composite Kernel [J].

Ma, Dingkun ;

Yang, Xinquan ;

Kuang, Yin .

2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION PROBLEM-SOLVING (ICCP), 2015, :432-435

[37] Support vector machines based on information geometry [J].

Liu, Gui-Guo ;

Huang, Hai-Yan ;

Huang, Dao .

Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology, 2008, 34 (03) :422-424

[38] Face Recognition Based on Support Vector Machines [J].

Jiang Li-li ;

Liang Kun ;

Ye Shuang .

2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 1, 2012, :115-119

[39] On parallel learning based on support vector machines [J].

Jin, Xiao-Ming ;

Wen, Yi-Min .

Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2008, 35 (07) :74-79

[40] Support vector machines based on posteriori probability [J].

2005, Science Press, Beijing, China (42) :196-202

← 1 2 3 4 5 →