504 search results - page 16 / 101 » PCS: An Efficient Clustering Method for High-Dimensional Dat... |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
ACL
2006
13 years 9 months ago
2006
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
NIPS
2000
13 years 9 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
GFKL
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...