112 search results - page 3 / 23 » Spectral Clustering for a Large Data Set by Reducing the Sim... |
ICRA
2007
IEEE
13 years 12 months ago
2007
IEEE
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
SPIESR
2003
13 years 7 months ago
2003
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
NIPS
2004
13 years 7 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
DILS
2008
Springer
13 years 7 months ago
2008
Springer
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
CAINE
2003
13 years 7 months ago
2003
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...