2596 search results - page 106 / 520 » Classes and clusters in data analysis |
266
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ICDE
2007
IEEE
16 years 7 months ago
2007
IEEE
This paper introduces a fast data dissemination method for structured peer-to-peer networks. The work is motivated on one side by the increase in non-volatile memory available on ...
173
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
157
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ISPASS
2006
IEEE
15 years 12 months ago
2006
IEEE
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
176
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NIPS
2004
15 years 7 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
175
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ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
16 years 5 days ago
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...