# Analysis of a Mode Clustering Diagram

arXiv: https://arxiv.org/abs/1805.04187 · HTML: https://mlsanity.com/paper/1805.04187/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 May 2018.

## Built on by (most cited first, 1 of 1)

- [How to scale hyperparameters for quickshift image segmentation](https://mlsanity.com/paper/2201.09286/) (2022)

## Abstract (arXiv)

Mode-based clustering methods define clusters to be the basins of attraction of the modes of a density estimate. The most common version is mean shift clus- tering which uses a gradient ascent algorithm to find the basins. Rodriguez and Laio (2014) introduced a new method that is faster and simpler than mean shift clustering. Furthermore, they define a clustering diagram that provides a sim- ple, two-dimensional summary of the mode clustering information. We study the statistical properties of this diagram and we propose some improvements and extensions. In particular, we show a connection between the diagram and robust linear regression.