148 search results - page 10 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
96
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
ICCV
2007
IEEE
15 years 6 months ago
2007
IEEE
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
AAAI
2007
15 years 2 months ago
2007
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
99
Voted
PAKDD
2009
ACM
15 years 7 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
SARA
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...