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...
| Main Authors: | Foong, O.-M., Ismail, A.N. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.24709 / |
| Published: |
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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