652 search results - page 53 / 131 » Accelerated EM-based clustering of large data sets |
SBACPAD
2003
IEEE
14 years 1 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
JCB
2007
13 years 8 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...