Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering

Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering

Clustering is an unsupervised machine learning and pattern recognition method. In general, in addition to revealing hidden groups of similar observations and clusters, their number needs to be determined. Internal clustering validation indices estimate this number without any external information. T...

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Bibliographic Details
Main Authors: Joonas Hämäläinen, Susanne Jauhiainen, Tommi Kärkkäinen
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Algorithms
Subjects:
prototype-based clustering
clustering validation index
robust statistics
Online Access:https://www.mdpi.com/1999-4893/10/3/105

Internet

https://www.mdpi.com/1999-4893/10/3/105

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