An algorithm to efficiently generate an approximation of a theory set
A theory set essentially consists of patterns that summarizes the observed inherent behavior of each cluster of observation in a data set. Furthermore, it is used in evaluating the cluster membership of new sets of data. Due to the large amount of computational resources needed to generate a theory...
| Udgivet i: | Philippine computing journal 4, 2 (2009(D)). |
|---|---|
| Hovedforfatter: | |
| Andre forfattere: | , |
| Format: | Article |
| Sprog: | English |
| Fag: |