90 search results - page 10 / 18 » Spectral Clustering by Recursive Partitioning |
PAMI
2007
13 years 6 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
ENTCS
2008
13 years 7 months ago
2008
We study distributed state space generation on a cluster of workstations. It is explained why state space partitioning by a global hash function is problematic when states contain...
MLDM
2005
Springer
14 years 27 days ago
2005
Springer
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
BMCBI
2008
13 years 7 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...