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WEBI
2005
Springer
16 years 17 days ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
SYNASC
2007
IEEE
136views Algorithms» more  SYNASC 2007»
16 years 1 months ago
Wikipedia-Based Kernels for Text Categorization
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...
Zsolt Minier, Zalan Bodo, Lehel Csató
SC
2004
ACM
16 years 15 days ago
Kosha: A Peer-to-Peer Enhancement for the Network File System
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...
Ali Raza Butt, Troy A. Johnson, Yili Zheng, Y. Cha...