13 search results - page 2 / 3 » SSC: Statistical Subspace Clustering |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
ICDE
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
CIBB
2008
2008
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
13 years 7 months ago
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...