A Survey of Some Density Based Clustering Techniques

Rupanka Bhuyan, Samarjeet Borah
6/15/2023
cs.LGcs.DB

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Abstract

Density Based Clustering are a type of Clustering methods using in data mining for extracting previously unknown patterns from data sets. There are a number of density based clustering methods such as DBSCAN, OPTICS, DENCLUE, VDBSCAN, DVBSCAN, DBCLASD and ST-DBSCAN. In this paper, a study of these methods is done along with their characteristics, advantages and disadvantages and most importantly, their applicability to different types of data sets to mine useful and appropriate patterns.

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Cite this paper

@article{bhuyan2023survey,
  title  = {A Survey of Some Density Based Clustering Techniques},
  author = {Rupanka Bhuyan and Samarjeet Borah},
  year   = {2023},
  eprint = {2306.09256},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.09256v2}
}

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