TrAgLor - Turkish Agricultural Learning Objects Repository

Object Summary

Computing Performance and Clustering Validity Comparison of Fuzzy C-means Algorithm for Different Cluster Volumes

Title of object

Computing Performance and Clustering Validity Comparison of Fuzzy C-means Algorithm for Different Cluster Volumes

Object description

Clustering is an unsupervised classification to assign similar data elements into certain groups, called clusters. Each cluster consists of elements that are more similar to each others when compared to elements in other groups. Although they can be categorized in several ways, clustering methods can be classified into two groups as “hard clustering” and “soft clustering” depending on the constraints on the memberhip degrees of data elements in clusters. Contrarily to hard clustering, in fuzzy ...

Language of object

Turkish

Author(s) / Publisher

Zeynel Cebeci Figen Yıldız

Discipline(s)

Agricultural Research and Methodology

Keywords

Soft clustering, Fuzy clustering, Fuzy C-means algorithm, Clustering validity indices

Technical format

Text

Intended end-user role

Other

Learning resource type

Proceedings

Typical age range

18Ü

Copyright - Restrictions

This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported

Cost with use

No

Source code available

No


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