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Searching for "Subspace Clustering Techniques." – sorted by Relevance.

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14 documents found, showing 1 through 10. Next 10 →

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Local Semantic Kernels for Text Document Clustering
by Loulwah Alsumait, Carlotta Domeniconi — 2007 — In Workshop on Text Mining, SIAM International Conference on Data Mining
…) that matter the most. This paper presents a subspace clustering technique based on a Locally Adaptive…
Cited by 1 (1 self) – Add To MetaCart

CLICK: Clustering Categorical Data Using K-partite Maximal Cliques
by Markus Peters, Mohammed J. Zaki — 2004
… for clustering categorical data. As most of these techniques do not consider subspaces, section 2.2 presents…
Cited by 8 (1 self) – Add To MetaCart

Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
by Qifa Ke, Takeo Kanade — 2004 — Metric and SVD Algorithm.” IEEE Conference on Computer Vision and Pattern Recognition
… of the iterative algorithm more un-predictable. This paper presents a robust subspace clustering technique…
Cited by 5 (0 self) – Add To MetaCart

Detecting Clusters in Moderate-to-High Dimensional Data: Subspace Clustering, Pattern
by Hans-peter Kriegel, Peer Kröger, Arthur Zimek
… oriented subspace may be interesting for a subspace clustering approach. The most general techniques…
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Categorization and Keyword Identification of Unlabeled Documents
by Ning Kang, Carlotta Domeniconi, Daniel Barbará — 2005 — in Proceedings of the Fifth IEEE International Conference on Data Mining
… successfully retains discriminant words. In addition, our subspace clustering technique is capable of further…
Cited by 4 (2 self) – Add To MetaCart

Cluster Analysis for Gene Expression Data: A Survey
by Daxin Jiang, Chun Tang, Aidong Zhang — 2004 — IEEE Transactions on Knowledge and Data Engineering
… the gene-based clustering, sample-based clustering, and subspace clustering techniques, respectively. 2…
Cited by 35 (3 self) – Add To MetaCart

Approximate Query Answering in High-Dimensional Data Cubes
by Christopher Jermaine, Renee J. Miller
… instead less dense clusters from within the full space. Even subspace clustering techniques that begin…
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Taming the Curse of Dimensionality in Kernels and Novelty Detection
by Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski — 2006 — In Ajith Abraham, Bernard de Baets, Mario Köppen, and Bertam Nickolay, editors, Applied Soft Computing Technologies: The Challenge of Complexity
…. Aggarwal discusses this in [1]. Parsons et. al. provide a survey of subspace clustering techniques in [21…
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Computing clusters of correlation connected objects
by Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek — 2004 — In Proceedings of the 2003 ACM SIGMOD international conference on Management of data
… oriented. In contrast, subspace clustering techniques like CLIQUE [3] and its successors MAFIA [11…
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Computing Clusters of Correlation Connected Objects
by Christian Boehm, Karin Kailing, Peer Kroeger, Arthur Zimek — 2004
… of correlated data are arbitrarily oriented. In contrast, subspace clustering techniques like CLIQUE [3] and its…
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