Searching for "Subspace Clustering of High Dimensional Data." – sorted by Relevance.
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Automatic Subspace Clustering of High Dimensional Data
- . Manufactured in The Netherlands. Automatic Subspace Clustering of High Dimensional Data RAKESH AGRAWAL ragrawal
- Cited by 397 (9 self) – Add To MetaCart
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Ranking Interesting Subspaces for Clustering High Dimensional Data
- Ranking Interesting Subspaces for Clustering High Dimensional Data ⋆ Karin Kailing, Hans
- Cited by 8 (1 self) – Add To MetaCart
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Density-connected subspace clustering for high-dimensional data
- Density-Connected Subspace Clustering for High-Dimensional Data ∗ Abstract Karin Kailing Hans
- Cited by 20 (11 self) – Add To MetaCart
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S.: A generic framework for efficient subspace clustering of high-dimensional data
- A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data Hans-Peter Kriegel
- Cited by 5 (4 self) – Add To MetaCart
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A subspace clustering framework for research group collaboration
- , Subspace Clustering, High-Dimensional Data, Highly Sparse Data, Research Paper Domain 1 Background
- Cited by 4 (1 self) – Add To MetaCart
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Clustering by Pattern Similarity in Large Data Sets
- ,3,4,6,12]hasfocusedondiscoveringclustersembedded in the subspaces of a high dimensional data set. This problem is known as subspace clustering
- Cited by 73 (11 self) – Add To MetaCart
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Knowledge Repository Text Data Collection Clustering Engine Concept Extractor Ontology Repository
- cell-based clustering method for large, high-dimensional data in data mining application � CLTREE (ACM
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Bibliometric impact measures leveraging topic analysis
- Data 119 Automatic Subspace Clustering of High Dimensional Data for Data Mining ... 90 A Vector Space
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A Concentric Model for Community Mining in Graph Structures
- for very large databases (Core) Automatic subspace clustering of high dimensional data for data mining
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Microcluster: Efficient deterministic biclustering of microarray data
- , 2004, pp. 24–45. 2. R. Agrawal et al., “Automatic Subspace Clustering of High Dimensional Data for Data
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