setup_KMeans: Setup KMeansConfig
In rtemis: Schema-Driven Machine Learning and Visualization
View source: R/120_ClusteringConfig.R
setup_KMeans R Documentation
Setup KMeansConfig
Description
Setup KMeansConfig
Usage
setup_KMeans(k = 3L, dist = "euclidean", features = NULL)
Arguments
k
Integer [1, Inf): Number of clusters.
dist
Character {"euclidean", "manhattan"}: Distance measure to use.
features
Optional Character vector: Names of at least 2 distinct
feature columns to cluster on. NULL clusters on all numeric features.
Value
KMeansConfig object.
Author(s)
EDG
Examples
kmeans_config <- setup_KMeans(k = 4L, dist = "euclidean")
kmeans_config
rtemis documentation built on Oct. 20, 2026, 1:06 a.m.
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View source: R/120_ClusteringConfig.R
| setup_KMeans | R Documentation |
Setup KMeansConfig
Description
Setup KMeansConfig
Usage
setup_KMeans(k = 3L, dist = "euclidean", features = NULL)
Arguments
k |
Integer [1, Inf): Number of clusters. |
dist |
Character {"euclidean", "manhattan"}: Distance measure to use. |
features |
Optional Character vector: Names of at least 2 distinct
feature columns to cluster on. |
Value
KMeansConfig object.
Author(s)
EDG
Examples
kmeans_config <- setup_KMeans(k = 4L, dist = "euclidean")
kmeans_config
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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