Sciweavers

Share
1010 search results - page 1 / 202
» Measuring Similarity between Sets of Overlapping Clusters
Sort
View
SOCIALCOM
2010
11 years 7 months ago
Measuring Similarity between Sets of Overlapping Clusters
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...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
BMCBI
2005
144views more  BMCBI 2005»
11 years 9 months ago
Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in
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...
Scott L. Carter, Aron C. Eklund, Brigham H. Mecham...
SIGMOD
2004
ACM
182views Database» more  SIGMOD 2004»
12 years 10 months ago
Efficient set joins on similarity predicates
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...
Sunita Sarawagi, Alok Kirpal
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
12 years 3 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
JMLR
2010
128views more  JMLR 2010»
11 years 4 months ago
Learning Causal Structure from Overlapping Variable Sets
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...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
books