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125
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
115
Voted
IPPS
2010
IEEE
15 years 1 months ago
2010
IEEE
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
125
Voted
JDCTA
2010
14 years 10 months ago
2010
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
137
Voted
SOCIALCOM
2010
15 years 1 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...
122
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...