498 search results - page 53 / 100 » DESCRY: A Density Based Clustering Algorithm for Very Large ... |
ISBRA
2007
Springer
14 years 2 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
KDD
2004
ACM
14 years 2 months ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
KDD
2009
ACM
14 years 3 months ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
PR
2007
13 years 8 months ago
2007
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...