Output details
11 - Computer Science and Informatics
University of Hull
Article title
Autonomous clustering using rough set theory
Type
D - Journal article
Title of journal
International Journal of Automation and Computing
Article number
-
Volume number
5
Issue number
1
First page of article
90
ISSN of journal
1476-8186
Year of publication
2008
Number of additional authors
1
Additional information
<24> This paper proposes a novel clustering technique, based on elements of rough set theory, that minimizes the need for subjective human intervention. The proposed algorithm is unified in its approach to clustering and makes use of both local and global data properties to obtain clustering solutions. It handles single-type and mixed attribute data sets with ease. This approach is being used for Tele-Health Systems, in projects sponsored by the EU and Phillips. Results, presented at King’s Fund’s Telehealth and Telecare Congress 2013, show that its use in Home Tele-monitoring with regular NHS clinic data produces significant results.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
17
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
