56 search results - page 3 / 12 » DBDC: Density Based Distributed Clustering |
PRL
2007
13 years 6 months ago
2007
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
INFOVIS
2000
IEEE
13 years 11 months ago
2000
IEEE
Two tasks in Graph Visualization require partitioning: the assignment of visual attributes and divisive clustering. Often, we would like to assign a color or other visual attribut...
ICCS
2007
Springer
14 years 1 months ago
2007
Springer
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...