summary.hmac: Summary of HMAC output

In Modalclust: Hierarchical Modal Clustering

Description

Gives the summary of output of a 'hmac' object.

Usage

## S3 method for class 'hmac'
summary(object,...)

Arguments

object	The output of HMAC analysis. An object of class 'hmac'.
...	further arguments passed to or from other methods.

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.

Examples

data(disc2d.hmac)
summary(disc2d.hmac)

Example output

Loading required package: mvtnorm
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: class
At levels 1 2 3  there are  4 3 2  clusters respectively 
 
The modes of each level of clusters are 
 
Modes at level  1 
         X1         X2
1 0.4991193  0.4112484
2 1.4563997  0.9594475
3 2.9902405 -0.8986439
4 4.4219625 -0.1451180

Modes at level  2 
         X1         X2
1 0.5184229  0.4269087
2 1.4780928  0.9519243
3 3.0214890 -0.8986338

Modes at level  3 
        X1         X2
1 1.502569  0.9424770
2 3.049604 -0.8960544

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