DocumentCode :
2491017
Title :
A mountain means clustering algorithm
Author :
Wang, Junnian ; Liu, Jianxun ; Liu, Lanxia
Author_Institution :
Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5045
Lastpage :
5049
Abstract :
A modified mountain clustering algorithm based on the hill valley function is proposed. Firstly, the grid and the mountain function are constructed in data space according to the mountain clustering method, and the mountain values of the data are computed. Secondly, the hill valley function is introduced to partition the data distributed on each peak. If the hill valley functionpsila value of two datum equal to 1, it means these two datum are on the same mountain and belong to thee same cluster, otherwise they are not. Finally, the means of data samples in each cluster are computed as the clustering centres. The testing of three data base indicate that the proposed mountain means clustering algorithm can categorise the clustering centres and the data numbers in each clusters exactly as well as efficiently.
Keywords :
data analysis; pattern clustering; clustering analysis; data samples; hill valley function; mountain clustering algorithm; Automation; Clustering algorithms; Clustering methods; Cognition; Grid computing; Intelligent control; Particle swarm optimization; Pattern analysis; Space technology; Testing; constructing grid; data cluster; hill valley function; mountain clustering method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593748
Filename :
4593748
Link To Document :
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