Document clustering using hybrid lda- kmeans
This paper presents a Hybrid Latent Dirichlet Allocation � Kmeans (HLDA-Kmeans) Algorithm for document clustering. The overload information has became a challenge for users due to the existence of abundance information and heterogeneous nature of the Web. Researchers such as academician as well as...
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| Format: | Article |
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Springer
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089621371&doi=10.1007%2f978-3-030-51974-2_12&partnerID=40&md5=5e0b63bc12c5aa95703ac2dc96dfea7f http://eprints.utp.edu.my/24709/ |
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