331 search results - page 60 / 67 » Possibilistic Clustering in Feature Space |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
SYNASC
2007
IEEE
14 years 2 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
SC
2004
ACM
14 years 1 months ago
2004
ACM
This paper presents Kosha, a peer-to-peer (p2p) enhancement for the widely-used Network File System (NFS). Kosha harvests redundant storage space on cluster nodes and user desktop...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
COMPGEOM
2009
ACM
14 years 11 days ago
2009
ACM
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....