31 search results - page 5 / 7 » Knee Point Detection in BIC for Detecting the Number of Clus... |
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
PAKDD
2004
ACM
14 years 26 days ago
2004
ACM
Our previous work introduced a 3D particle visualization framework that viewed each data point as being a particle affected by gravitational forces. We showed the use of this tool ...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
BMCBI
2010
13 years 7 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...