quant_clust: Quantile-Based Clustering for Univariate Data
In Keefe-Murphy/MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
quant_clust R Documentation
Quantile-Based Clustering for Univariate Data
Description
Returns a quantile-based clustering for univariate data.
Usage
quant_clust(x,
G)
Arguments
x
A vector of numeric data.
G
The desired number of clusters.
Value
The vector of cluster labels.
Examples
data(CO2data)
quant_clust(CO2data$CO2, G=2)
Keefe-Murphy/MoEClust documentation built on Feb. 1, 2024, 4:36 a.m.
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| quant_clust | R Documentation |
Quantile-Based Clustering for Univariate Data
Description
Returns a quantile-based clustering for univariate data.
Usage
quant_clust(x,
G)
Arguments
x |
A vector of numeric data. |
G |
The desired number of clusters. |
Value
The vector of cluster labels.
Examples
data(CO2data)
quant_clust(CO2data$CO2, G=2)
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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