Clustering Large Graphs via the Singular Value Decomposition.
We consider the problem of partitioning a set of m points in the n-dimensional Euclidean space into k clusters (usually m and n are variable, while k is fixed), so as to minimize the sum of squared distances between each point and its cluster center. This formulation is usually the objective of the...
| Pubblicato in: | Machine learning. 56, 1-3 (2004). |
|---|---|
| Autore principale: | |
| Natura: | Articolo |
| Lingua: | English |
| Soggetti: |