Reducing data dimensionality using random projections and fuzzyk‐means clustering-Reference-Cited by-同舟云学术

Reducing data dimensionality using random projections and fuzzyk‐means clustering

Published:2011-08-23 Issue:3 Volume:4 Page:353-365
ISSN:1756-378X
Container-title:International Journal of Intelligent Computing and Cybernetics
language:en
Short-container-title:Int Jnl of Intel Comp & Cyber

Author:

Aswani Kumar Ch.

Publisher

Emerald

Subject

General Computer Science

Reference25 articles.

1. Database-friendly random projections: Johnson-Lindenstrauss with binary coins

2. Random projection and orthonormality for lossy image compression

3. Analysis of unsupervised dimensionality reduction techniques

4. Aswani Kumar, Ch. and Srinivas, S. (2006), “Latent semantic indexing using eigenvalue analysis for efficient information retrieval”,International Journal of Applied Mathematics and Computer Science, Vol. 16, pp. 551‐8.

5. Aswani Kumar, Ch. and Srinivas, S. (2009a), “A note on the effect of term weighting on selecting intrinsic dimensionality of data”,Journal of Cybernetics and Information Technologies, Vol. 9, pp. 5‐12.

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