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
Authors | Peters, 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. |
Keywords | dynamic clustering; granular clustering; granular computing |
Year | 2016 |
Journal | Granular Computing |
Journal citation | 1, pp. 1-11 |
Publisher | Springer |
ISSN | 2364-4966 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s41066-015-0012-z |
Scopus EID | 2-s2.0-84984958855 |
Research or scholarly | Research |
Page range | 1-11 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 04 Feb 2016 |
Publication process dates | |
Accepted | 17 Nov 2015 |
Deposited | 12 Nov 2021 |
Permalink -
https://acuresearchbank.acu.edu.au/item/8x09y/dcc-a-framework-for-dynamic-granular-clustering
Restricted files
Publisher's version
(1 files)
81
total views0
total downloads2
views this month0
downloads this month