# APclustering

**Repository Path**: lsjr/APclustering

## Basic Information

- **Project Name**: APclustering
- **Description**: Affinity Propagation Clustering using sklearn.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-09-18
- **Last Updated**: 2021-07-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Affinity Propagation Clustering

## Introduction

Realization on affinity propagation (AP) clustering. Codes are as follows.

- `sklearn_apply/plot_affinity_propagation.py` : an official tutorial.
- `sklearn_apply/AP_feed_data.py` : My realization using sklearn API, with raw data fed.
- `sklearn_apply/AP_feed_similarity.py` : My realization using sklearn API, with similarity matrix fed.

## Result

<img src="https://github.com/SongDark/APclustering/blob/master/pictures/AP_feed_data.png?raw=true">


## Reference:

- Brendan J. Frey and Delbert Dueck, "Clustering by Passing Messages
Between Data Points", Science Feb. 2007
- [Demo of affinity propagation clustering algorithm](http://scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html#sphx-glr-auto-examples-cluster-plot-affinity-propagation-py)
- [sklearn.cluster.AffinityPropagation](http://scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html)