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  Published Paper Details:

  Paper Title

ADAPTIVE SELF PACED DEEP CLUSTERING WITH DATA AUGUMENTION

  Authors

  VINNAKOTA GOWTHAMI PRIYA,  K.VENKATESH

  Keywords

ADAPTIVE SELF PACED DEEP CLUSTERING WITH DATA AUGUMENTION

  Abstract


Deep clustering is one of the most prominent clustering techniques compared with superior clustering techniques by jointly performing feature learning and cluster assignment. Although numerous deep clustering algorithms have emerged in various applications, most of them fail to learn robust cluster-oriented features which in turn hurt the final clustering performance. In order to overcome all these problems, we try to propose a two-stage deep clustering algorithm by incorporating data augmentation and self-paced learning. In the first stage, we try to train the system with all the inputs which are required for identifying the post with category name and rank. In the next stage we just want to identify the test condition in which user try to recommend the post to others and combine a post based on category.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106873

  Paper ID - 211171

  Page Number(s) - h359-h369

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  VINNAKOTA GOWTHAMI PRIYA,  K.VENKATESH,   "ADAPTIVE SELF PACED DEEP CLUSTERING WITH DATA AUGUMENTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.h359-h369, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106873.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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