Description Usage Arguments Value Author(s) References See Also
Performs Modal Cluster with specified smoothing paramters. Used as a sub function of phmac
.
1 |
dat |
Matrix of data points |
Sigmas |
Specified smoothing levels |
G |
Specified values of modes. A matrix with number of rows equal to the number of modes and number of columns equal to the dimension of the data. Defualt value is NULL |
member |
Membership of the observations to the modes given in G. Default value is NULL |
data |
Same as the input dat. |
n.cluster |
Number of clusters at each level. |
level |
Levels corresponding to each smoothing parameter. |
Sigmas |
Same as input sigmas. |
mode |
List of modes at each distinct levels. |
membership |
List of memmbership to modes at each distinct levels. |
Surajit Ray and Yansong Cheng
Li. J, Ray. S, Lindsay. B. G, "A nonparametric statistical approach to clustering via mode identification," Journal of Machine Learning Research , 8(8):1687-1723, 2007.
Lindsay, B.G., Markatou M., Ray, S., Yang, K., Chen, S.C. "Quadratic distances on probabilities: the foundations," The Annals of Statistics Vol. 36, No. 2, page 983–1006, 2008.
phmac
for front end of using modal clustering and also for parallel implementation of modal clustering.
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