Clustering with Scikit-Learn in Python

This tutorial demonstrates how to apply clustering algorithms with Python to a dataset with two concrete use cases. The first example uses clustering to identify meaningful groups of Greco-Roman authors based on their publications and their reception. The second use case applies clustering algorithm...

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Bibliographic Details
Published inThe programming historian Vol. 10; no. 10
Main Author Jurczyk, Thomas
Format Journal Article
LanguageEnglish
Published ProgHist Ltd 29.09.2021
Editorial Board of the Programming Historian
Subjects
Algorithms
Artificial intelligence
Bibliographic literature
Case studies
Clustering
Data analysis
Datasets
Libraries
Machine learning
Religion
Online AccessGet full text
ISSN2397-2068
2397-2068
DOI10.46430/phen0094

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Summary:This tutorial demonstrates how to apply clustering algorithms with Python to a dataset with two concrete use cases. The first example uses clustering to identify meaningful groups of Greco-Roman authors based on their publications and their reception. The second use case applies clustering algorithms to textual data in order to discover thematic groups. After finishing this tutorial, you will be able to use clustering in Python with Scikit-learn applied to your own data, adding an invaluable method to your toolbox for exploratory data analysis.
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ISSN:2397-2068
2397-2068
DOI:10.46430/phen0094