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Improved Clustering analysis Algorithm and
its Application in the tunnel disease
(Shanghai University of Engineering Science College of
Urban Rail Transportation£¬Shanghai 201620 China)
Abstract: Study in the classical algorithm based on cluster analysis, try to
improve k-means algorithm,and get the MK-means Algorithm.If we randomly select
initial point iteration,that each operation will produce different clustering
results, based on the minimum spanning tree of graph theory, by calculating the
minimum spanning tree to get the minimum cycle, resulting in the beginning of
k- start cluster center, up to a certain point of the initial clustering
threshold start clustering, the result is better, and of some practical value.
Key
words: cluster analysis; fuzzy clustering; data
mining; Algorithm improvement
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