List of some data clustering algorithms with CODE. Also, see the available Libraries where several traditional clustering algorithms have been implemented!

August, 2022 (last update)

Traditional clustering algorithms #

1. BLOCK-DBSCAN: Fast clustering for large scale data (2021) | REF | C++ code |
2. CDP: Clustering by fast search and find of density peaks (2014)| REF | Matlab code |

Single-objective algorithms #

1. SCA2: Novel efficient swarm clustering algorithm (2019) | REF | Python code |
2. E-ED: Elastic differential evolution for automatic data clustering (2019) | REF | C++ code |

Multi-objective algorithms #

1. MOCK: An evolutionary approach to multiobjective clustering (2007) | REF | C++ code |
2. Delta-MOCK. An improved and more scalable evolutionary approach to multiobjective clustering (2018) | REF | C++ code |

Surveys and books #

Under construction