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Soft clustering criterion functions for partitional document clustering: A summary of results
Ying Zhao
,
George Karypis
Computer Science and Engineering
Research output
:
Contribution to conference
›
Paper
›
peer-review
18
Scopus citations
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Dive into the research topics of 'Soft clustering criterion functions for partitional document clustering: A summary of results'. Together they form a unique fingerprint.
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Keyphrases
Clustering Criteria
100%
Criterion Function
100%
Document Clustering
100%
Soft Clustering
100%
Partitional
100%
Cluster Solutions
40%
Inter-cluster
20%
Clustering Algorithm
20%
Partitional Clustering Algorithm
20%
Different Datasets
20%
Agglomerative Hierarchical Clustering Algorithm
20%
Hard Clustering
20%
Cluster Similarity
20%
Membership Function
20%
Soft Membership
20%
Document Datasets
20%
Clustering Results
20%
Computer Science
Document Clustering
100%
Clustering Criterion
100%
Criterion Function
100%
Clustering Algorithm
40%
Hard Clustering
20%
Clustering Result
20%
Agglomerative Algorithm
20%
Membership Function
20%