# FederatedClustering

**Repository Path**: liujiyuan13/FederatedClustering

## Basic Information

- **Project Name**: FederatedClustering
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-12-26
- **Last Updated**: 2024-12-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## FederatedClustering

- Source code used for the manuscript “Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data”, currently under review.
- This work has been developed by the Artificial Intelligence R&D Group at the Department of Information Engineering, University of Pisa.
- Authors:
  - José Luis Corcuera Bárcena ([scholar](https://scholar.google.it/citations?user=dasDbcAAAAAJ)) (joseluis.corcuera@phd.unipi.it)
  - Francesco Marcelloni ([scholar](https://scholar.google.it/citations?user=_EkQr2QAAAAJ)) (francesco.marcelloni@unipi.it)
  - Alessandro Renda ([scholar](https://scholar.google.it/citations?user=13nYgdUAAAAJ)) (alessandro.renda@unipi.it)
  - Alessio Bechini ([scholar](https://scholar.google.com/citations?user=ooYOGP4AAAAJ)) (alessio.bechini@unipi.it)
  - Pietro Ducange ([scholar](https://scholar.google.it/citations?user=HCgZqXEAAAAJ)) (pietro.ducange@unipi.it)


### Dependencies

**Federated Clustering** requires:

- **pandas** (for data manipulation and analysis)
- **numpy** (basic numeric python library)
- **numba** (speed up computation generating machine code)
- **scikit-learn** (for normalization and model evaluation metrics)
- **matplotlib** (for plotting)
 
#### Installing the application
To install the application just clone the repository, `cd` into the folder and run
```bash
python setup.py install
```