434 search results - page 64 / 87 » Dimensionality Reduction of Clustered Data Sets |
ICDM
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
CSDA
2006
13 years 8 months ago
2006
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
EDBT
2004
ACM
14 years 8 months ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
BIBE
2003
IEEE
14 years 2 months ago
2003
IEEE
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...