25041 search results - page 96 / 5009 » Algorithms for Clustering Data |
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
TKDE
2008
13 years 8 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
ECSQARU
2005
Springer
14 years 1 months ago
2005
Springer
Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clusterin...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...