summary.pkbc: Summarizing PKBD mixture Fits
In QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances
summary.pkbc R Documentation
Summarizing PKBD mixture Fits
Description
Summary method for class "pkbc"
Usage
## S4 method for signature 'pkbc'
summary(object)
Arguments
object
Object of class pkbc
Value
Display the logLikelihood values and within cluster sum of squares
(wcss) for all the values of number of clusters provided. For each of
these values the estimated mixing proportions are showed together
with a table with the assigned memberships.
See Also
pkbc() for the clustering algorithm
pkbc for the class object definition.
Examples
dat <- rbind(matrix(rnorm(100),2),matrix(rnorm(100,5),2))
res <- pkbc(dat,2:4)
summary(res)
QuadratiK documentation built on Oct. 29, 2024, 5:08 p.m.
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| summary.pkbc | R Documentation |
Summarizing PKBD mixture Fits
Description
Summary method for class "pkbc"
Usage
## S4 method for signature 'pkbc'
summary(object)
Arguments
object |
Object of class |
Value
Display the logLikelihood values and within cluster sum of squares (wcss) for all the values of number of clusters provided. For each of these values the estimated mixing proportions are showed together with a table with the assigned memberships.
See Also
pkbc() for the clustering algorithm
pkbc for the class object definition.
Examples
dat <- rbind(matrix(rnorm(100),2),matrix(rnorm(100,5),2))
res <- pkbc(dat,2:4)
summary(res)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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