Improving Web Clustering by Cluster Selection.
Daniel CrabtreeXiaoying GaoPeter AndreaePublished in: Web Intelligence (2005)
Keyphrases
- clustering algorithm
- content similarity
- hierarchical clustering
- data clustering
- web sessions
- overlapping clusters
- web snippets
- cluster analysis
- website
- clustering method
- unsupervised clustering
- clustering approaches
- data points
- clustering framework
- agglomerative hierarchical clustering
- clustering procedure
- clustering result
- web documents
- disjoint clusters
- k means
- web users
- returned by a search engine
- web people search
- subspace clustering
- web applications
- self organizing maps
- cluster centers
- clustering scheme
- web data
- constrained clustering
- density based clustering algorithm
- cluster membership
- cluster validity
- hierarchical agglomerative clustering
- semantic web
- click stream
- rough k means
- inter cluster
- intra cluster
- web pages
- semi supervised clustering
- model based clustering
- clustering quality
- unsupervised learning
- overlapping clustering
- supervised clustering
- categorical data
- cluster validation
- hierarchical clustering algorithm
- web content
- user sessions
- cluster ensemble
- meaningful clusters
- web mining
- similar objects
- tag information
- neighborhood information
- web technologies
- evolutionary clustering
- arbitrary shape
- document clustering
- clustering analysis
- instance level constraints
- information sources
- similarity matrix
- clustering ensemble
- high dimensional data