# Stochastic mean-shift clustering

arXiv: https://arxiv.org/abs/2312.15684 · HTML: https://mlsanity.com/paper/2312.15684/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 24 references that are in the map.
- First posted on arXiv 25 Dec 2023.

## Builds on (most cited first, 1 of 1)

- [Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm](https://mlsanity.com/paper/2012.10929/) (2020)

## Abstract (arXiv)

In this paper we presented a stochastic version mean-shift clustering algorithm. In the stochastic version the data points "climb" to the modes of the distribution collectively, while in the deterministic mean-shift, each datum "climbs" individually, while all other data points remains in their original coordinates. Stochastic version of the mean-shift clustering is comparison with a standard (deterministic) mean-shift clustering on synthesized 2- and 3-dimensional data distributed between several Gaussian component. The comparison performed in terms of cluster purity and class data purity. It was found the the stochastic mean-shift clustering outperformed in most of the cases the deterministic mean-shift.