# A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm

arXiv: https://arxiv.org/abs/1404.6059 · HTML: https://mlsanity.com/paper/1404.6059/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Apr 2014.

## Built on by (most cited first, 5 of 5)

- [Too Large; Data Reduction for Vision-Language Pre-Training](https://mlsanity.com/paper/2305.20087/) (2023)
- [A Rapid Review of Clustering Algorithms](https://mlsanity.com/paper/2401.07389/) (2024)
- [Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation](https://mlsanity.com/paper/2303.16521/) (2023)
- [A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks](https://mlsanity.com/paper/2105.03289/) (2021)
- [Comparative Evaluation of Hard and Soft Clustering for Precise Brain Tumor Segmentation in MR Imaging](https://mlsanity.com/paper/2509.05340/) (2025)

## Abstract (arXiv)

Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster. Fuzzy C means is a very important clustering technique based on fuzzy logic. Also we have some hard clustering techniques available like K-means among the popular ones. In this paper a comparative study is done between Fuzzy clustering algorithm and hard clustering algorithm