439 search results - page 7 / 88 » Engineering Comparators for Graph Clusterings |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
IWPC
2000
IEEE
14 years 3 days ago
2000
IEEE
Call graphs are commonly used as input for automatic clustering algorithms, the goal of which is to extract the high level structure of the program under study. Determining the ca...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
WEBI
2004
Springer
14 years 1 months ago
2004
Springer
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...