Subject: Computer and information sciences
Year: 2012
Type: Article
Type: PeerReviewed
Title: IC: Intelligent Clustering, a new time efficient data partitioning methodology
Author: Stojanov, Done
Abstract: A new, time efficient data partitioning methodology is presented. First, the input data set is mapped into a set of radius vectors, which is further sorted, then partitioned into initial clusters. However, that is not a guarantee that all objects have been partitioned in the appropriate clusters. Therefore, objects being inappropriately partitioned are moved from one cluster into another neighbouring cluster. Finally, clusters of radius vectors are formed. Applying reverse mapping, clusters of radius vectors are back-mapped into clusters of original objects, being appropriately partitioned.
Publisher: TECH SCIENCE PUBLICATIONS
Relation: https://eprints.ugd.edu.mk/189/
Identifier: oai:eprints.ugd.edu.mk:189
Identifier: https://eprints.ugd.edu.mk/189/1/__ugd.edu.mk_private_UserFiles_done.stojanov_Desktop_ijcsit2012030525.pdfIdentifier: Stojanov, Done (2012) IC: Intelligent Clustering, a new time efficient data partitioning methodology. International Journal of Computer Science and Information Technologies, 3 (5). pp. 5065-5067. ISSN 0975-9646
