  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.
