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Locality preserving indexing for document representation
2004
Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Indexing (LSI) is considered effective in deriving such an indexing. LSI essentially detects the most representative features for document representation rather than the most discriminative features. Therefore, LSI might not be optimal in discriminating documents with different semantics. In this paper, a novel algorithm
doi:10.1145/1008992.1009012
dblp:conf/sigir/HeCLM04
fatcat:bauei3gfarcbnogir2bso7p2cm