|
Symbol | Explanation |
|
| Denotes a set of points in the -dimensional Euclidean space |
| Denotes that there are data points in dataset |
| Denotes a positive integer specifying the number of clusters |
| Denotes the set of cluster centers |
| Denotes the Euclidean distance between and |
| Denotes that is a subset of |
| Denotes the minimum Euclidean distance between and set |
centroid(Y) | Denotes the centroid of set |
| Denotes the minimum Euclidean distance between and in set |
| Denotes the cost of with respect to |
| Denotes the sum of the squares of the minimum Euclidean distance between in set and set |
| Denotes the sum of the minimum Euclidean distances between in set and set |
| Denotes the cost of optimal clustering algorithms |
| Denotes the standard deviation vector of a cluster |
|