A hierarchy of subspace clusters means that clusters with small subspace distances are nested in clusters with higher subspace distances. Intuitively, the subspace dimensionality is the number of attributes with high vari- ance.
Those clusters are also called subspace clusters. In this paper, we propose the algorithm HiSC (Hierarchical Subspace Clustering) that can detect hierarchies of ...
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Many subspace clustering algorithms, e.g. [1–4], aim at finding all clusters in all sub- spaces of the feature space producing overlapping clusters, i.e. ...
Those clusters are also called subspace clusters. In this paper, we propose the algorithm HiSC (Hierarchical Subspace Clustering) that can detect hierarchies of ...
Those clusters are also called subspace clusters. In this paper, we propose the algorithm HiSC (Hierarchical Subspace Clustering) that can detect hierarchies of ...
Several subspace clustering algorithms aim at finding all clusters in all subspaces ... Finding Hierarchies of Subspace Clusters. 449. We will adapt this paradigm ...
Sep 18, 2006 · Those clusters are also called subspace clusters. In this paper, we propose the algorithm HiSC (Hierarchical Subspace Clustering) that can ...
The algorithm DiSH (Detecting Subspace cluster Hierarchies) is proposed that improves in the following points over existing approaches: first, ...
This technique discovers clusters embedded in multiple, overlapping subspaces of high-dimensional data. The proposed algorithm manages to find the data's best ...
May 30, 2007 · The first Part of this work deals with the analysis of hierarchical subspace clusters in axis-parallel subspaces. Two new methods are proposed ...