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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 6 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
AGTIVE
2003
Springer
15 years 12 months ago
Specifying Pointer Structures by Graph Reduction
Graph-reduction specifications (GRSs) are a powerful new method for specifying classes of pointer data structures (shapes). They cover important shapes, like various forms of bal...
Adam Bakewell, Detlef Plump, Colin Runciman
JCST
2008
124views more  JCST 2008»
15 years 6 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
IJCNN
2007
IEEE
16 years 29 days ago
Default ARTMAP 2
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
Gregory P. Amis, Gail A. Carpenter
ECML
2003
Springer
15 years 12 months ago
Experiments with Cost-Sensitive Feature Evaluation
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
Marko Robnik-Sikonja