| hmac {Modalclust} | R Documentation |
Perform Modal Clustering in serial mode only
Description
Performs Modal Cluster with specified smoothing paramters. Used as a sub function of phmac.
Usage
hmac(dat,Sigmas,G=NULL,member=NULL)
Arguments
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 |
Value
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. |
Author(s)
Surajit Ray and Yansong Cheng
References
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.
See Also
phmac for front end of using modal clustering and also for parallel implementation of modal clustering.