177 search results - page 19 / 36 » K-means clustering via principal component analysis |
VLSISP
2010
13 years 2 months ago
2010
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
VISUALIZATION
1999
IEEE
13 years 11 months ago
1999
IEEE
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
VIS
2003
IEEE
14 years 8 months ago
2003
IEEE
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
SPIESR
2004
13 years 9 months ago
2004
To allow efficient browsing of large image collections, we have to provide a summary of its visual content. We present in this paper a robust approach to organize image databases:...