5046 search results - page 8 / 1010 » Non-redundant data clustering |
ICASSP
2010
IEEE
14 years 6 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
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JDCTA
2010
14 years 4 months ago
2010
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
IGPL
2011
14 years 4 months ago
2011
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...