DCC : A framework for dynamic granular clustering

Journal article

Peters, Georg and Weber, Richard. (2016). DCC : A framework for dynamic granular clustering. Granular Computing. 1, pp. 1-11. https://doi.org/10.1007/s41066-015-0012-z
AuthorsPeters, Georg and Weber, Richard
Abstract

Clustering is one of the most relevant data mining tasks. Its goal is to group similar objects in one cluster while dissimilar objects should belong to different clusters. Many extensions have been developed based on traditional cluster algorithms. Recently, approaches for dynamic as well as for granular clustering have been of particular interest. This paper provides a framework, DCC-Dynamic Clustering Cube, to categorize existing dynamic granular clustering algorithms. Furthermore, the DCC-Framework can be used as a research map and starting point for new developments in this area.

Keywordsdynamic clustering; granular clustering; granular computing
Year2016
JournalGranular Computing
Journal citation1, pp. 1-11
PublisherSpringer
ISSN2364-4966
Digital Object Identifier (DOI)https://doi.org/10.1007/s41066-015-0012-z
Scopus EID2-s2.0-84984958855
Research or scholarlyResearch
Page range1-11
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online04 Feb 2016
Publication process dates
Accepted17 Nov 2015
Deposited12 Nov 2021
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