Clustering Validation and Analysis
Project description
A collection of tools for validation and analysis of clustering results.
Different Types of Cluster Validity Indecies:
* External Indecies: comparing the clustering results with the a priori known clustering solution (e.g. ground truth labels)
* Internal indecies: measuring the quality of clusterings without comparing to any clustering solution
* Relative indecies: comparing the clustering results obtained from different algorithms, or dissimilarity measures
Contact
=============
email: vmirjalily@gmail.com
Twitter: https://twitter.com/vmirly
URL for this project: https://github.com/mirjalil/valclust
Different Types of Cluster Validity Indecies:
* External Indecies: comparing the clustering results with the a priori known clustering solution (e.g. ground truth labels)
* Internal indecies: measuring the quality of clusterings without comparing to any clustering solution
* Relative indecies: comparing the clustering results obtained from different algorithms, or dissimilarity measures
Contact
=============
email: vmirjalily@gmail.com
Twitter: https://twitter.com/vmirly
URL for this project: https://github.com/mirjalil/valclust
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