Name
Abstract | ||
|---|---|---|
We review two versions of a topology preserving algorithm one of which we had previously (1) found to be more successful in defining smooth manifolds and tight clusters. In the context of outlier detection, however, the other is shown to be more successful. Nevertheless, we show that, by using local kernels for calculation of responsibilities, the first one can also be used in this manner. |
Year | Venue | Keywords |
|---|---|---|
2006 | ESANN | topographic mapping,kernels,responsibilities,hatom.,outlier detection,topographic map |
Field | DocType | Citations |
Cluster (physics),Data mining,Anomaly detection,Pattern recognition,Topographic map,Computer science,Harmonic,Outlier,Artificial intelligence,Machine learning,Manifold | Conference | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marian Pena | 1 | 1 | 0.35 |
| Colin Fyfe | 2 | 508 | 55.62 |