Name
Abstract | ||
|---|---|---|
With a point matching distance measure which is invariant undertranslation, rotation and permutation, we learn 2-D point-set objects,by clustering noisy point-set images. Unlike traditional clusteringmethods which use distance measures that operate on featurevectors -- a representation common to most problem domains -- thisobject-based clustering technique employs a distance measure specificto a type of object within a problem domain. Formulatingthe clustering problem as two nested... |
Year | Venue | Field |
|---|---|---|
1993 | NIPS | k-medians clustering,Hierarchical clustering,Fuzzy clustering,Mathematical optimization,Pattern recognition,Correlation clustering,Computer science,Consensus clustering,Constrained clustering,Artificial intelligence,Cluster analysis,Single-linkage clustering |
DocType | Citations | PageRank |
Conference | 8 | 5.84 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven Gold | 1 | 864 | 83.13 |
| Eric Mjolsness | 2 | 1058 | 140.00 |
| A Rangarajan | 3 | 3698 | 367.52 |