PRTools contents |
MODESEEK
[LAB,J] = MODESEEK(D,K)
Input | |
D | Distance matrix or distance dataset (square) |
K | Number of neighbours to search for local mode (default: 10) |
Output | |
LAB | Cluster assignments, 1..K |
J | Indices of modal samples |
A K-NN modeseeking method is used to assign each object to its nearest mode.
1. Cheng, Y. "Mean shift, mode Seeking, and clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, no. 8, pp. 790-799, 1995.
mappings, datasets, kmeans, hclust, kcentres, proxm,
PRTools contents |