14 search results - page 1 / 3 » An Empirical Comparison of NML Clustering Algorithms |
ITSL
2008
13 years 6 months ago
2008
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
WWW
2010
ACM
13 years 11 months ago
2010
ACM
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
CLUSTER
2008
IEEE
13 years 11 months ago
2008
IEEE
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
RT
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. This paper presents a comparison of basic progressive and wavelet radiosity algorithms. Several variants of each algorithm were run on a set of scenes at several paramete...
ICAI
2004
13 years 6 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...