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Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes.

, , , , and . PReMI, volume 8251 of Lecture Notes in Computer Science, page 229-236. Springer, (2013)

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User preference learning in multi-criteria recommendations using stacked auto encoders., , , and . RecSys, page 475-479. ACM, (2018)Tolerance Rough Set Theory Based Data Summarization for Clustering Large Datasets., and . Trans. Rough Sets, (2011)Distance Based Fast Hierarchical Clustering Method for Large Datasets., , , and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 50-59. Springer, (2010)Distance based Incremental Clustering for Mining Clusters of Arbitrary Shapes., , , , and . PReMI, volume 8251 of Lecture Notes in Computer Science, page 229-236. Springer, (2013)Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data., , , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, page 252-263. Springer, (2014)A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data., , , and . Knowl. Based Syst., (2015)Fast Single-Link Clustering Method Based on Tolerance Rough Set Model., and . RSFDGrC, volume 5908 of Lecture Notes in Computer Science, page 414-422. Springer, (2009)Cold-start Point-of-interest Recommendation through Crowdsourcing., , and . ACM Trans. Web, 14 (4): 19:1-19:36 (2020)Mitigating long tail effect in recommendations using few shot learning technique., and . Expert Syst. Appl., (2020)An approach to compute user similarity for GPS applications., , , and . Knowl. Based Syst., (2016)