HMAC: Perform Modal Clustering in serial mode only

In Modalclust: Hierarchical Modal Clustering

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.

Modalclust documentation built on May 1, 2019, 7:31 p.m.