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Curated List of Clustering Resources
Machine Learning

Curated List of Clustering Resources

Last Updated on February 2, 2021 by Editorial Team

Author(s): Durgesh SamariyaΒ 

Last updated on July 31, 2020. I am continuously updating thisΒ post.

Photo by Pietro Jeng onΒ Unsplash

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).β€Šβ€”β€ŠWikipedia

This post contents:

  1. Books
  2. Research Papers
  3. Online Courses andΒ Videos
  4. Clustering Datasets
  5. List ofΒ Journals

Books

Data Clustering by Chandan K. Reddy and Charu C. Aggarwal. This textbook covers most of the clustering techniques. Highly recommended to people working in clustering.

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++.

Research Papers

Survey Papers

Survey of clustering algorithms

A Survey of Clustering Data Mining Techniques

Clustering high-dimensional data: A survey on subspace clustering

A Survey of Text Clustering Algorithms

A Survey of Recent Advances in Hierarchical Clustering Algorithms

Subspace Clustering for High Dimensional Data: AΒ Review

State-of-the-art Methods

DBSCAN

Density-Based Clustering Algorithms

DBSCAN

DENCLUE 2.0

Hierarchical Clustering Algorithms

Subspace Clustering

CLIQUE(Clustering InΒ QUEst)

MAFIA

ENCLUS

P3C

SUBCLU(density-connected Subspace Clustering)

FIRES(FIlter REfinement Subspace clustering)

CSSub (Clustering by Shared Subspaces)

Online Courses andΒ Videos

Coursera Machine Learning course by Andrew Ng, Stanford University

Coursera Machine Learning with Python byΒ IBM

Course on Clustering in Machine Learning byΒ Google

Coursera Clustering Analysis in Data Mining course by University of Illinois at Urbana-Champaign

Clustering Datasets

Clustering basic benchmark dataset

List of Journals for Clustering

Journal of Machine LearningΒ Research

IEEE Transactions on Pattern Analysis and Machine Intelligence

Data Mining and Knowledge Discovery

IEEE Access

Pattern Recognition Letters

Check out my git repository awesome-clustering-resources.

More toΒ 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]).

Enjoy reading!


Curated List of Clustering Resources was originally published in Towards AIβ€Šβ€”β€ŠMultidisciplinary Science Journal on Medium, where people are continuing the conversation by highlighting and responding to this story.

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