369 search results - page 24 / 74 » Multiclass Spectral Clustering |
JCP
2007
13 years 7 months ago
2007
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
NIPS
2001
13 years 9 months ago
2001
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
NIPS
2001
13 years 9 months ago
2001
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...