237 search results - page 2 / 48 » Finding Metric Structure in Information Theoretic Clustering |
ALT
2003
Springer
15 years 1 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
RECOMB
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
ENC
2003
IEEE
15 years 2 months ago
2003
IEEE
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
WAW
2009
Springer
15 years 4 months ago
2009
Springer
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...