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Zona State University, Tempe, AZ fagelgi asu.edu, svadrevu asu.edu, hdavulcu asu.edu Keywords: Web search, subspace clustering, guided search Abstract: Current search engines present their search results as a ranked list of Web pages. However, as the number of pages on the Web increases exponentially, so does the number of search results for any given query. We present a novel subspace clustering based algorithm to organize keyword search results by simultaneously clustering and identifying.
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Keywords relevant to SCUBA DIVER: SUBSPACE CLUSTERING OF WEB SEARCH ... - Public Asu
- TF
- subspaces
- ODP
- IDF
- 2000
- K-Means
- KMeans
- partitioning
- ScubaDiver
- XY
- edu
- ACM
- SelectFeatures
- thresholds
- Zeng
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