434 search results - page 34 / 87 » Dimensionality Reduction of Clustered Data Sets |
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
BMCBI
2010
13 years 8 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a novel multivariate uniformity criterion for testing uniformity of point density in an arbitrary dimensional point pattern . An unsupervised, nonparametric data cluste...
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...