52 search results - page 3 / 11 » Hierarchical Clustering of Features on Categorical Data of B... |
BMCBI
2008
13 years 6 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...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
ISMIS
1997
Springer
13 years 10 months ago
1997
Springer
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...