Others

DBSCAN, Fuzzy C-Means, Hierarchical Clustering, K-Means Clustering, Self-Organizing Map, Spectral Clustering

Common

Input Data

Parameters	Input
*Target Data	Input data
*Cluster Object	Name of the cluster object(fill out at your discretion)
*Output Name	Name of the output data
Merge Data	Clustering data will be concatenated to Merge Data. (optional)
X	User-defined numeric columns for X two or more columns should be selected

[Task information of K-Means Clustering]

DBSCAN

Defining eps

In case of using DBSCAN model, you have to define eps (size of epsilon neighborhood) in Arguments.

[Task Information of DBSCAN Arguments]

Workflow Example

[Workflow Example of Fuzzy C-Means]

[Workflow Example of Hierarchical Clustering]

R Package

DBSCAN: https://www.rdocumentation.org/packages/dbscan/versions/1.1-5/topics/dbscan

Fuzzy C-Means Clustering: https://www.rdocumentation.org/packages/e1071/versions/1.7-4/topics/cmeans

Hierarchical Clustering: https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/hclust

K-Means Clustering: https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/kmeans

Self-Organizing Map: https://www.rdocumentation.org/packages/kohonen/versions/3.0.10/topics/supersom

Spectral Clustering: https://www.rdocumentation.org/packages/kernlab/versions/0.9-29/topics/specc