davies_bouldin: Davies Bouldin Index

In Ltochon/CLARA.seq: CLARA Clustering

Description

Implementation of Davies-Bouldin index to evaluate the quality of CLARA Clustering.

Usage

davies_bouldin(
  seq_obj,
  distargs = list(method = "LCS"),
  diss = TRUE,
  plot = TRUE,
  cores = detectCores() - 1
)

Arguments

seq_obj	The object generated with CLARA Clustering
distargs	List with method parameters to apply. (See the function seqdist in TraMineR package)
diss	Boolean to express if the parameter diss from CLARA.seq clustering has been returned (Matrix size must be k columns and n rows - see refseq function from TraMineR package)
plot	Boolean variable to plot the research convergence
cores	Number of cores to use for parallelism

Value

The value of the index

Examples

my_index <- davies_bouldin(my_cluster)

Ltochon/CLARA.seq documentation built on Dec. 17, 2021, 1:12 a.m.