models: A List of Available Models in circul

In jknowles/circus: Cluster Identification in R for Categorization and Unsupervised Learning

Description

These models are included in the package via wrappers for circul. Custom models can also be created. See the URL below.

Bagged Clustering (method = 'bclust')

For classification using package e1071 with tuning parameters:

• Number of Number of clusters, k (centers, integer)

• Distance method (dist.method, character)

Fuzzy C-Means Clustering (method = 'cmeans')

For classification and fuzzy using package e1071 with tuning parameters:

• Number of clusters, k (centers, integer)

• Distance method (dist, character)

• Degree of fuzzification (m, numeric)

Graded Response Model - Polytomous IRT (method = 'grm')

For classification using package ltm with tuning parameters:

• Number of clusters (clusters, integer)

Samejima's Continuous Response Model (method = 'estcrm')

For classification using package EstCRM with tuning parameters:

• Number of clusters (clusters, integer)

References

“Using your own model in circul”

jknowles/circus documentation built on May 19, 2019, 11:42 a.m.