Metadata-Version: 2.4
Name: scada-python
Version: 0.1.0
Summary: Statistical Inference for k-means Clustering after Domain Adaptation
Author-email: locluklak <23520854@uit.edu.vn>
Project-URL: Homepage, https://github.com/DAIR-Group/SCaDA
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: mpmath
Requires-Dist: torch
Requires-Dist: scikit-learn
Requires-Dist: PyYAML
Requires-Dist: tqdm
Dynamic: license-file

# Statistical Inference for k-means Clustering after Domain Adaptation
This package provides a statistical inference framework for k-means clustering after domain adaptation (DA). It leverages the SI framework and employs a divide-and-conquer strategy to efficiently compute the p-value of selected features. Our method ensures reliable feature selection by controlling the false positive rate (FPR) while simultaneously maximizing the true positive rate (TPR), effectively reducing the false negative rate (FNR).

## Installization

```bash
pip install PySCaDA
```

## Usage
Follows the notebook examples in our Github repository: [DAIR-Group/SCaDA](https://github.com/DAIR-Group/SCaDA)
