Metadata-Version: 2.1
Name: magiccluster
Version: 0.0.1
Summary: Multi-scale semi-supervised clustering
Home-page: https://github.com/anbai106/MAGIC
Author: junhao.wen
Author-email: junhao.wen89@email.com
License: UNKNOWN
Description: <h1 align="center">
          <a href="http://www.junhaowen.com/magic/">
            <img src="http://www.junhaowen.com/mlni/images/magic.png" alt="magic Logo">
          </a>
          <br/>
          MAGIC
        </h1>
        
        <p align="center"><strong>Multi-scAle heteroGeneity analysIs and Clustering</strong></p>
        
        <p align="center">
          <a href="http://www.junhaowen.com/magic/">Documentation</a>
        </p>
        
        ## `MLNI`
        **MAGIC**, Multi-scAle heteroGeneity analysIs and Clustering, is a multi-scale semi-supervised clustering method that aims to derive robust clustering solutions across different scales for brain diseases.
        
        > :warning: **The documentation of this software is currently under development**
        
        ## Citing this work
        ### If you use this software for clustering:
        > Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2020) **MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases**. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12267. Springer, Cham. https://doi.org/10.1007/978-3-030-59728-3_66
        
        > Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2022) **Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes**. Medical Image Analysis, 2022. https://doi.org/10.1016/j.media.2021.102304 - [Link](https://www.sciencedirect.com/science/article/pii/S1361841521003492)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
