How to evaluate your clustering solution?

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1. What is the impact of having different scales in a survey? and how can we solve this problem before and after data collection (Literature)?

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What degree of missing data in a particular case/participant results in Expectation-Maximisation no longer working?

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M. Ramakrishna Murty

There are many more measures are available in the literature .Cluster quality measure are used depends up on the data set.

Some of the measures are listed below

1. Compactness

2. Isolation

3. Homogeneity & separateness

4. Object positioning

Etc.

Heba Ayeldeen

check this!

It may help.

http://www.sciencedirect.com/science/article/pii/S1088467X99000359

Md Anisur Rahman

Typically there are two types of cluster evaluation criteria namely external and internal cluster evaluation. F-measure, Entropy and Purity are the external evaluation criteria whereas XB, Dunn Index, DB Index and Silhouette Coefficient are the internal evaluation criteria. You can go through the following article.

http://www.sciencedirect.com/science/article/pii/S0950705114002937