1010 search results - page 1 / 202 » Measuring Similarity between Sets of Overlapping Clusters |
SOCIALCOM
2010
13 years 2 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
BMCBI
2005
13 years 4 months ago
2005
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...
SIGMOD
2004
ACM
14 years 4 months ago
2004
ACM
In this paper we present an efficient, scalable and general algorithm for performing set joins on predicates involving various similarity measures like intersect size, Jaccard-coe...
ISMIR
2005
Springer
13 years 9 months ago
2005
Springer
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
JMLR
2010
12 years 11 months ago
2010
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...