Abstract
In this paper, a cluster validity measure is presented to infer the appropriateness of data partitions. The proposed validity measure adopts a novel non-metric distance measure based on the idea of "point symmetry". The proposed validity measure can be applied in finding the number of clusters of different geometrical structures. The performance evaluation of the validity measure compares favorably to that of several validity functions and shows the effectiveness.
| Original language | English |
|---|---|
| Title of host publication | Recent Advances in Computers, Computing and Communications |
| Publisher | World Scientific and Engineering Academy and Society |
| Pages | 209-213 |
| Number of pages | 5 |
| ISBN (Print) | 9608052629 |
| State | Published - 2002 |
Keywords
- Cluster validity
- Clustering algorithm
- Pattern recognition
- Similarity measure