
Clustering with Scikit-Learn in Python
Author(s) -
Thomas Jurczyk
Publication year - 2021
Publication title -
the programming historian
Language(s) - English
Resource type - Journals
ISSN - 2397-2068
DOI - 10.46430/phen0094
Subject(s) - python (programming language) , cluster analysis , toolbox , computer science , exploratory data analysis , data mining , artificial intelligence , programming language
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.