Abstract
This chapter provides a summary of the research work, contributions toward the research objectives, and conclusions of this study, as well as recommending some future work directions for those interested in the field.
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Reference
Abualigah, L. M., & Khader, A. T. (2017). Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. The Journal of Supercomputing, 1–23.
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Abualigah, L.M.Q. (2019). Conclusion and Future Work. 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_6
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DOI: https://doi.org/10.1007/978-3-030-10674-4_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-10673-7
Online ISBN: 978-3-030-10674-4
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