2065 search results - page 54 / 413 » Techniques of Cluster Algorithms in Data Mining |
121
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PODS
2008
ACM
16 years 1 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
126
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
122
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ALT
2010
Springer
15 years 3 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
136
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PAKDD
2007
ACM
15 years 7 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
117
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APCCM
2006
15 years 3 months ago
2006
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...