Journal
KNOWLEDGE-BASED SYSTEMS
Volume 49, Issue -, Pages 152-170Publisher
ELSEVIER
DOI: 10.1016/j.knosys.2013.05.005
Keywords
Fuzzy clustering; Geo-demographic analysis; Geographic effects; Spatial interaction modification model; Data mining
Categories
Funding
- NAFOSTED [102.01-2012.14]
- VNU
Ask authors/readers for more resources
In this paper, we introduce a novel model so-called Spatial Interaction - Modification Model (SIM2), serving for the classification of spatially-referenced demographic data. It is integrated with the main part of the best fuzzy clustering algorithm for geo-demographic analysis problem - IPFGWC to form the new method named as MIPFGWC. Theoretical and experimental analyses show that MIPFGWC achieves better clustering quality than IPFGWC and other available algorithms. (C) 2013 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available