Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Research on Spatially Weighted Fuzzy Dynamic Clustering Algorithm and Spatial Data Mining Visualization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Chen Gui-Fen ; Coll. of Inf. & Technol. Sci., Jilin Agric. Univ., Chang Chun, China ; Wang Guo-Wei ; Ma Li ; Yan Li
more authors

Generally the spatial fuzzy clustering algorithm has not differentiated between the various attributes imbalance and the multi-dimensional data description complexity and that isn't favor to the complex spatial data relation correct description. In response to this problem, this paper uses a spatially weighted fuzzy dynamic clustering algorithm and realizes the dynamic process visualization of the algorithm. The research combines the weight of AHP with spatial fuzzy clustering and then uses statistical probability F-distribution to determine the optimal threshold lambda in order to enhance the intelligence of spatial fuzzy clustering algorithm. The use of star coordinate can achieve the spatial fuzzy clustering algorithm visualization. Tests show that compared with based on fuzzy equivalent relation transitive closure method, the clustering is higher than the not weighted fuzzy clustering algorithm.

Published in:

Software Engineering, 2009. WCSE '09. WRI World Congress on  (Volume:3 )

Date of Conference:

19-21 May 2009