Home
This Title All WIREs
WIREs RSS Feed
How to cite this WIREs title:
WIREs Data Mining Knowl Discov
Impact Factor: 4.476

Subspace clustering

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract Subspace clustering refers to the task of identifying clusters of similar objects or data records (vectors) where the similarity is defined with respect to a subset of the attributes (i.e., a subspace of the data space). The subspace is not necessarily (and actually is usually not) the same for different clusters within one clustering solution. In this article, the problems motivating subspace clustering are sketched, different definitions and usages of subspaces for clustering are described, and exemplary algorithmic solutions are discussed. Finally, we sketch current research directions. © 2012 Wiley Periodicals, Inc. This article is categorized under: Technologies > Structure Discovery and Clustering

Local feature relevance: three clusters, each cluster defined in two attributes, yet no any two clusters share two relevant attributes. Figures created with ELKI 0.4.27

[ Normal View | Magnified View ]

Hough transform: points in the picture space map to functions in the parameter space, an intersection of functions in the parameter space maps to a linear manifold shared by all points mapping to these functions.

[ Normal View | Magnified View ]

Grid‐based bottom‐up subspace clustering. Dense one‐dimensional and two‐dimensional units (for τ > 3) are highlighted. All one‐dimensional projections of each dense two‐dimensional unit are also dense, although not all two‐dimensional combinations of dense one‐dimensional units are dense.

[ Normal View | Magnified View ]

Frequent itemset mining and subspace mining: the search space of all possible itemsets over four items {A, B, C, D} and of all possible subspaces of a four‐dimensional data space where each subspace is encoded as a four‐dimensional vector recording 1 for those attributes spanning the subspace and 0 for the remaining attributes.

[ Normal View | Magnified View ]

Arbitrarily oriented subspace cluster.

[ Normal View | Magnified View ]

Axis‐parallel subspace cluster.

[ Normal View | Magnified View ]

Browse by Topic

Technologies > Structure Discovery and Clustering

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts