The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
-Jul 2 - Santa Clara Conv Ctr - abstracts by 4/30 Asilomar Conference on Signals, Systems, and Computers due by June 1 [more] - Nov 1-4, 2009 - Asilomar Conf Grounds, Pacific Grove...
Tag clouds have become a frequently used interaction technique in the web. Recently several approaches to present tag clouds with the tags semantically clustered have been propose...
Johann Schrammel, Michael Leitner, Manfred Tscheli...
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
Perceiving dynamic scenes of rigid bodies, through affine projections of moving 3D point clouds, boils down to clustering the rigid motion subspaces supported by the points' ...