419 search results - page 10 / 84 » Spectral Methods for Automatic Multiscale Data Clustering |
ICRA
2007
IEEE
14 years 2 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...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
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....
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...