iokm: Clusters interval data using the OKM (Overlapping K-means)...

In COveR: Clustering with Overlaps

Clusters interval data using the OKM (Overlapping K-means) algorithm.

Description

Clusters interval data using the OKM (Overlapping K-means) algorithm.

Usage

iokm(
  x,
  centers,
  nstart = 10,
  distance = "euclid",
  algorithm = "std",
  update = "mean",
  trace = FALSE,
  iter.max = 20,
  secure = FALSE
)

Arguments

x	A 3D interval array representing the data to be clustered.
centers	Either the number of clusters to create or a set of pre-initialized cluster centers. If a number is provided, it indicates how many clusters to create.
nstart	The number of times to run the OKM algorithm with different starting values to find the best result (default is 10).
distance	A string specifying the distance metric to use: 'euclid' for Euclidean distance or 'hausdorff' for Hausdorff distance (default is 'euclid').
algorithm	A string specifying the algorithm type to use: 'std' for the standard algorithm or 'matrix' for matrix-based algorithm (default is 'std').
update	A string specifying the update method for cluster centers. Either: 'mean', 'sum', 'join' or 'meet' (default is 'mean').
trace	Logical value indicating whether to show progress of the algorithm (default is 'FALSE').
iter.max	Maximum number of iterations allowed for the OKM algorithm (default is 20).
secure	Logical value indicating whether to ensure that the minimum is less than or equal to the maximum in intervals (default is 'FALSE').

Value

A list of clustering results, including: - 'cluster': Matrix indicating the cluster assignment for each data point. - 'centers': The final cluster centers. - 'totss': Total sum of squares. - 'withinss': Within-cluster sum of squares by elements. - 'tot.withinss': Total within-cluster sum of squares. - 'betweenss': Between-cluster sum of squares. - 'size': The number of points in each cluster. - 'iter': The number of iterations the algorithm executed. - 'overlaps': The average overlap across clusters.

Examples

iokm(iaggregate(iris, col = 5), 2)
iokm(iaggregate(iris, col = 5), iaggregate(iris, col = 5))

COveR documentation built on Oct. 30, 2024, 9:28 a.m.