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Document clustering with evolved multi-word search queries
Laurence Hirsch
, Robin Hirsch
,
Bayode Ogunleye
School of Arch, Tech and Eng
Research output
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Contribution to journal
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Article
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peer-review
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Keyphrases
Search Queries
100%
Word Search
100%
Document Clustering
100%
Multi-keyword
100%
Problem-based
16%
Similarity Measure
16%
Existing Algorithms
16%
Number of Clusters
16%
Session Search
16%
Text Dataset
16%
Query Word
16%
Root Word
16%
KNN Algorithm
16%
Query Construction
16%
Cluster Construction
16%
Qualitative Benefits
16%
Document Sets
16%
Text Clustering
16%
Causal Explanation
16%
Computer Science
Text Clustering
100%
Document Clustering
100%
k-Nearest Neighbors Algorithm
100%
Causal Explanation
100%
Identify Pattern
100%