1887

Chapter 15. Behavioural profiles, distance metrics and cluster analysis

image of Chapter 15. Behavioural profiles, distance metrics and cluster analysis

This chapter presents the Behavioural Profiles approach, which involves the comparison of contextual features of words or constructions in a corpus. The chapter also discusses several clustering algorithms, which are based on different distance metrics. Cluster analysis is a family of techniques that can help you discover groups of similar objects in the data. Several popular methods of cluster validation and diagnostics are discussed, which involve the computation of average silhouette widths and multiscale bootstrap resampling. The chapter also demonstrates how to interpret clusters with the help of the snake plot and effect size measures. In addition, you will learn to create and interpret scree plots, which are useful for determining the optimal number of clusters.

References

References

/content/books/9789027268457-16beh
dcterms_subject,pub_keyword
10
5
Chapter
content/books/9789027268457
Book
Loading
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error