optimal_m: Finding the optimum number of clusters
In OllieS8/bearing:
Description
Usage
Arguments
Value
Description
Finding the optimum number of clusters
Usage
1
Arguments
df
data frame
m_values
m (number of clusters) values to test
n_start
number of repetitive computations of kproto with random initializations
Value
returns optimum number of clusters according to the silhouette index.
OllieS8/bearing documentation built on Dec. 31, 2020, 3:23 p.m.
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Description Usage Arguments Value
Description
Finding the optimum number of clusters
Usage
1 |
Arguments
df |
data frame |
m_values |
m (number of clusters) values to test |
n_start |
number of repetitive computations of kproto with random initializations |
Value
returns optimum number of clusters according to the silhouette index.
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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