15-06-2012, 02:04 PM
Interval ckMeans: An Algorithm for ClusteringSymbolic Data
Interval ckMeans.ppt (Size: 177.5 KB / Downloads: 31)
EXISTING SYSTEM:
Even though dynamic clustering method used in large database like web page collection which yields better clustering, but it needs additional computation which leads to increase in time complexity.
And also when dynamic document clustering adopted for real world applications, sometimes it may not yield the desired output. And also dynamic algorithm works like static algorithm in initial clustering.
PROPOSED SYSTEM
An approach for dynamic document clustering based on structured MARDL technique is our objective. At first the documents are clustered in Static method using Bisecting K-means algorithm.
After the preprocessing process, the documents should grouped into desired number of clusters. To make desired number of clusters, bisecting K-Means clustering method is used.