k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean.
This REALbasic code implements this algorithm, providing you the ability to easily do physical proximity clustering.
This REALbasic code implements this algorithm, providing you the ability to easily do physical proximity clustering.
| file | description | size |
| kmeans clustering code | Initial version | 28K |