Feature clustering based support vector machine recursive feature elimination for gene selection

Xiaojuan Huang; Li Zhang; Bangjun Wang; Fanzhang Li; Zhao Zhang

doi:10.1007/s10489-017-0992-2

ScienceGate Book Chapters

JOURNAL ARTICLE

Feature clustering based support vector machine recursive feature elimination for gene selection

Xiaojuan Huang Li Zhang Bangjun Wang Fanzhang Li Zhao Zhang

Year: 2017 Journal: Applied Intelligence Vol: 48 (3)Pages: 594-607 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-017-0992-2

Get Full-Text PDF Get Analytical Report

Keywords:

Support vector machine Cluster analysis Computer science Feature selection Artificial intelligence Pattern recognition (psychology) Redundancy (engineering) Feature (linguistics) Curse of dimensionality Clustering high-dimensional data Gene Data mining Biology Genetics

Metrics

128

Cited By

4.68

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Feature clustering based support vector machine recursive feature elimination for gene selection

Metrics

Citation History

Topics

Related Documents

Application of multiple support vector machine recursive feature elimination model in cancer feature gene selection

Hybrid adapted fast correlation FCBF-support vector machine recursive feature elimination for feature selection

DynamicWeighted Particle Swarm Optimization - Support Vector Machine Optimization in Recursive Feature Elimination Feature Selection

Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data

Gene Selection Using Gaussian Kernel Support Vector Machine Based Recursive Feature Elimination with Adaptive Kernel Width Strategy