https://github.com/20040120lxs/dacin

Code for "DACIN: Deep Adversarial Clustering-driven Imputation Networks"
https://github.com/20040120lxs/dacin

deep-subspace-clustering generative-adversarial-network tensorflow

Last synced: 4 months ago
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Code for "DACIN: Deep Adversarial Clustering-driven Imputation Networks"

• Host: GitHub
• URL: https://github.com/20040120lxs/dacin
• Owner: 20040120lxs
• License: mit
• Created: 2024-08-14T11:03:04.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-15T05:58:21.000Z (6 months ago)
• Last Synced: 2024-10-11T04:41:37.582Z (4 months ago)
• Topics: deep-subspace-clustering, generative-adversarial-network, tensorflow
• Language: PureBasic
• Homepage:
• Size: 9.08 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DACIN: Deep Adversarial Clustering-driven Imputation Networks

![Python 3.11](https://img.shields.io/badge/Python-3.11-green)

![MIT License](https://img.shields.io/badge/License-MIT-blue)

## Requirements

Execute the following command to install the required libraries:

```

pip install -r requirements.txt

```

## Data

The data used in this paper can be downloaded from:

-   UCI Letter (https://archive.ics.uci.edu/dataset/59/letter+recognitionn)

-   UCI Pendigits (https://archive.ics.uci.edu/dataset/81/pen+based+recognition+of+handwritten+digits)

-   UCI Optdigits (https://archive.ics.uci.edu/dataset/80/optical+recognition+of+handwritten+digits)

## Example command

```

python main.py -data_dir dataset/letter/missing_ratio/ -batch_size 1474 -k 6 -epochs 1000 -iter_num 5

```