142 search results - page 7 / 29 » Clustering Large Datasets in Arbitrary Metric Spaces |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
SC
2004
ACM
14 years 24 days ago
2004
ACM
Texture analysis is one possible method to detect features in biomedical images. During texture analysis, texture related information is found by examining local variations in ima...
FLAIRS
2004
13 years 8 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
COCOON
2010
Springer
14 years 5 days ago
2010
Springer
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...