Curated List of Clustering Resources
Last Updated on February 2, 2021 by Editorial Team
Author(s): Durgesh Samariya
Last updated on July 31, 2020. I am continuously updating this post.
Clustering or Cluster analysis is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). — Wikipedia
This post contents:
Data Clustering: Theory, Algorithms, and Applications by Guojun Gan, Chaoqun Ma, and Jianhong Wu. This is a useful compendium of a variety of clustering methods, for a variety of data types, with numerous measures of similarity and many examples of algorithms. The ultimate emphasis is on the algorithms, even the implementation in MATLAB or C++.
Density-Based Clustering Algorithms
Hierarchical Clustering Algorithms
Online Courses and Videos
Coursera Machine Learning course by Andrew Ng, Stanford University
Coursera Machine Learning with Python by IBM
Course on Clustering in Machine Learning by Google
Coursera Clustering Analysis in Data Mining course by University of Illinois at Urbana-Champaign
List of Journals for Clustering
Check out my git repository awesome-clustering-resources.
More to come…
More items will be added to the repository. Please feel free to suggest other key resources by opening an issue report, submitting a pull request, or dropping me an email @ ([email protected]).
Curated List of Clustering Resources was originally published in Towards AI — Multidisciplinary Science Journal on Medium, where people are continuing the conversation by highlighting and responding to this story.
Published via Towards AI