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Table 18 Internal metric—Davies-Bouldin Index–K-means performance

From: A set theory based similarity measure for text clustering and classification

Similarity measure/metric

K = 4

K = 8

Reuters–18308 features

Web-KB-33025 features

Reuters–18308 features

Web-KB-33025 features

Euclidean

4.186722232186011

4.485270517901569

4.138785792328177

4.414646698351782

Cosine

4.974207600701769

5.184748331594617

5.120474137629764

6.511148800037687

Jaccard

13.633300152033158

15.865256973163703

14.42610495247111

15.858516305005779

Bhattacharya

4.597427791367133

4.893369736545789

3.280451019807807

5.177469928065736

kullback–Leibler

1.872529736499688

2.8045629002126167

2.266827595447801

2.1725394033652123

Manhattan

2.627533355357464

2.9998709693117767

2.1237224749990613

1.6587667141935847

PDSM

3.7833377396816443

7.519681593999572

5.179788734900043

5.386991923494522

STB-SM

5.764560759902967

5.85720075727297

5.391258478217752

5.654144650340377

  1. Italic values indicate the highest values that top measures achieved for corresponding evaluation metrics