ClustNails visual analysis of subspace clusters.

Subspace clustering addresses an important problem in clustering multi-dimensional data. In sparse multi-dimensional data, many dimensions are irrelevant and obscure the cluster boundaries. Subspace clustering helps by mining the clusters present in only locally relevant subsets of dimensions. Howev...

詳細記述

書誌詳細

出版年:	Tsinghua Science and Technology 17, 4 (Aug. 2012).
第一著者:	Tatu, Andrada
その他の著者:	Zhang, Leishi, Bertini, Enrico, Schreck, Tobias, Keim, Daniel, Bremm, Sebastian, Von Landesberger, Tatiana
フォーマット:	論文
言語:	English
主題:	Algorithm design and analysis. Pixel-based techniques. Clustering algorithms.