1971 search results - page 84 / 395 » A clustering method that uses lossy aggregation of data |
ICCSA
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
ICISC
2004
13 years 9 months ago
2004
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...