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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 816))

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Abstract

This chapter reviews the full explanation of the TD clustering technique, discusses the text document clustering problem (TDCP) and text feature selection problem (TFSP), shows more related works, and examines KHA and its application.

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Notes

  1. 1.

    SnakeT. website at http://snaket.di.unipi.it.

  2. 2.

    Yippy. website at http://yippy.com.

  3. 3.

    iBoogie. website at http://www.iboogie.com.

  4. 4.

    KeySRC. website at http://keysrc.fub.it.

  5. 5.

    Lingo3G. website at http://www.carrot2.org.

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  1. Universiti Sains Malaysia, Penang, Malaysia

    Laith Mohammad Qasim Abualigah

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  1. Laith Mohammad Qasim Abualigah
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Correspondence to Laith Mohammad Qasim Abualigah .

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Abualigah, L.M.Q. (2019). Literature Review. In: Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. Studies in Computational Intelligence, vol 816. Springer, Cham. https://doi.org/10.1007/978-3-030-10674-4_3

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