Sciweavers

2142 search results - page 30 / 429
» Hierarchical Adaptive Clustering
Sort
View
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 1 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...
SIGGRAPH
1994
ACM
13 years 11 months ago
A clustering algorithm for radiosity in complex environments
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...
Brian E. Smits, James Arvo, Donald P. Greenberg
ICML
2004
IEEE
14 years 8 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
PR
2006
116views more  PR 2006»
13 years 7 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
PRL
1998
142views more  PRL 1998»
13 years 7 months ago
A monothetic clustering method
: The proposed divisive clustering method performs simultaneously a hierarchy of a set of objects and a monothetic characterization of each cluster of the hierarchy. A division is ...
Marie Chavent