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...
| I publikationen: | Philippine computing journal 4, 2 (2009(D)). |
|---|---|
| Huvudupphovsman: | |
| Övriga upphovsmän: | , |
| Materialtyp: | Artikel |
| Språk: | English |
| Ämnen: |