25041 search results - page 16 / 5009 » Algorithms for Clustering Data |
KDD
1998
ACM
14 years 3 days ago
1998
ACM
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
IMCSIT
2010
13 years 5 months ago
2010
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
EUSFLAT
2009
13 years 5 months ago
2009
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...