DBCAMM: A novel density based clustering algorithm via using the Mahalanobis metric

DBCAMM: A novel density based clustering algorithm via using the Mahalanobis metric

In this paper we propose a new density based clustering algorithm via using the Mahalanobis metric. This is motivated by the current state-of-the-art density clustering algorithm DBSCAN and some fuzzy clustering algorithms. There are two novelties for the proposed algorithm: One is to adopt the Maha...

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Bibliographic Details
Main Authors: Ren, Yan, Xiaodong, Liu, Liu, Wan-Quan
Format: Journal Article
Published: Elsevier 2012
Subjects:
Mahalanobis distance
Followers
Image segmentation
Clustering
Leaders
Online Access:http://hdl.handle.net/20.500.11937/33348

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