419 search results - page 46 / 84 » Spectral Methods for Automatic Multiscale Data Clustering |
MICAI
2007
Springer
14 years 2 months ago
2007
Springer
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...
IDEAL
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
IJKDB
2010
13 years 5 months ago
2010
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
NCA
2002
IEEE
13 years 7 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
PAMI
2002
13 years 7 months ago
2002
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...