652 search results - page 19 / 131 » Accelerated EM-based clustering of large data sets |
NIPS
2008
13 years 9 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
ISICA
2007
Springer
14 years 2 months ago
2007
Springer
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...