Hierarchical clustering using correlation metric and spatial continuity constraint
Patent
·
OSTI ID:1079466
Large data sets are analyzed by hierarchical clustering using correlation as a similarity measure. This provides results that are superior to those obtained using a Euclidean distance similarity measure. A spatial continuity constraint may be applied in hierarchical clustering analysis of images.
- Research Organization:
- Sandia National Lab
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- Patent Number(s):
- 8,280,887
- Application Number:
- 13/042,053
- OSTI ID:
- 1079466
- Country of Publication:
- United States
- Language:
- English
Efficient algorithms for agglomerative hierarchical clustering methods
|
journal | December 1984 |
A fast encoding algorithm for vector quantization
|
journal | December 1997 |
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