Gravitational search algorithm and K-means for simultaneous feature selection and data clustering: a multi-objective approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/article/10.1007/s00500-017-2923-x/fulltext.html
Reference37 articles.
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2. Biesiada J, Duch W (2007) Feature selection for high-dimensional data—a pearson redundancy based filter. In: Computer recognition systems, vol 2. Springer, Berlin, Heidelberg, pp 242–249
3. Coello CAC, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Evolut Comput 8(3):256–279
4. Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1(3):131–156
5. Davies DL, Bouldin DW (1979) A cluster separation measure. IEEE Trans Pattern Anal Mach Intell 2:224–227
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