8776 search results - page 306 / 1756 » Robust Data Clustering |
152
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IH
1999
Springer
15 years 10 months ago
1999
Springer
In this paper, we focus on a step of the watermarking process whose importance has been disregarded so far. In this perspective, we introduce the vector extraction paradigm which i...
150
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
305
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ISNN
2011
Springer
14 years 9 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
181
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NOSSDAV
2009
Springer
16 years 1 months ago
2009
Springer
Data dissemination in decentralized networks is often realized by using some form of swarming technique. Swarming enables nodes to gather dynamically in order to fulfill a certai...
170
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DATAMINE
2006
15 years 6 months ago
2006
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...