16 search results - page 3 / 4 » Finding Clusters in subspaces of very large, multi-dimension... |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
ISICA
2007
Springer
14 years 1 months ago
2007
Springer
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...