Evolutionary Methods for Unsupervised Feature Selection Using Sammon's Stress Function-Reference-Cited by-同舟云学术

Evolutionary Methods for Unsupervised Feature Selection Using Sammon's Stress Function

Published:2010-09 Issue:3 Volume:2 Page:229-247
ISSN:1616-8658
Container-title:Fuzzy Information and Engineering
language:en
Short-container-title:Fuzzy Information and Engineering

Author:

Saxena Amit¹,Pal Nikhil R.²,Vora Megha³

Affiliation:

1. Department of Computer Science and Information Technology, Guru Ghasidas University, Bilaspur, India

2. Electronics and Communication Sciences Unit, Indian Stastistical Institute, 203 B. T. Road, Calcutta, India

3. Department of Computer Science and Engineering, Indian Institute of Technology-Madras, Chennai-600036, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Artificial Intelligence,Industrial and Manufacturing Engineering,Management Science and Operations Research,Logic,Information Systems,Control and Systems Engineering,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1007/s12543-010-0047-4

Reference30 articles.

1. Fuzzy logic approaches to structure preserving dimensionality reduction

2. Jain A K, Dubes R C (1998) Algorithms for clustering data. Prentice-Hall, Upper Saddle River, NJ

3. A Nonlinear Mapping for Data Structure Analysis

4. A nonlinear mapping algorithm for large data sets

5. Improving the efficiency of Sammon's nonlinear mapping by using clustering archetypes

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