504 search results - page 14 / 101 » PCS: An Efficient Clustering Method for High-Dimensional Dat... |
SOCO
2008
Springer
13 years 7 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...