HCA {structToolbox}R Documentation

HCA method class

Description

HCA method class. Calculate a hierarchical clustering for the input data.

Usage

HCA(
  dist_method = "euclidean",
  cluster_method = "complete",
  minkowski_power = 2,
  factor_name,
  ...
)

Arguments

dist_method

The distance method to use for clustering. Can be any one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Default is "euclidean".

cluster_method

The clustering method to use. Can be any one of "ward.D", "ward.D2", "single", "complete", "average", "mcquitty", "median" or "centroid". Default is 'complete'.

minkowski_power

This parameter is only used when dist_method = 'minkowski'.

factor_name

The sample_meta column to use.

...

additional slots and values passed to struct_class

Value

struct object

Examples

D = iris_DatasetExperiment()
M = HCA(factor_name='Species')
M = model_apply(M,D)


[Package structToolbox version 1.0.1 Index]