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ICPP
2000
IEEE
14 years 4 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
ICA
2004
Springer
14 years 1 months ago
Soft-LOST: EM on a Mixture of Oriented Lines
Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind sour...
Paul D. O'Grady, Barak A. Pearlmutter
AUSAI
2007
Springer
14 years 1 months ago
DBSC: A Dependency-Based Subspace Clustering Algorithm for High Dimensional Numerical Datasets
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
Xufei Wang, Chunping Li
ICCV
2009
IEEE
15 years 21 days ago
FLoSS: Facility Location for Subspace Segmentation
Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from...
Nevena Lazic, Inmar Givoni, Brendan Frey
ISBI
2006
IEEE
14 years 8 months ago
Segmenting a beating heart using polysegment and Spatial GPCA
Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background ...
Avinash Ravichandran, René Vidal, Henry Hal...