67 search results - page 8 / 14 » Detecting Projected Outliers in High-Dimensional Data Stream... |
BMCBI
2005
14 years 9 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
EDBT
2009
ACM
15 years 2 months ago
2009
ACM
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
ISI
2008
Springer
14 years 8 months ago
2008
Springer
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...