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Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

Home Page: https://sut-data-mining.gitbook.io/divik/

License: Apache License 2.0

Python 62.76% Dockerfile 0.87% Shell 0.06% C 33.90% Jupyter Notebook 2.41%
clustering machine-learning divik mass-spectrometry-imaging single-cell-rna-seq omics-analysis feature-selection feature-engineering auto-ml unsupervised-auto-ml

divik's People

Contributors

dependabot[bot] avatar gmrukwa avatar odidev avatar

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divik's Issues

Add support to release linux aarch64 wheels

Problem

On aarch64, pip install divik builds the wheels from source code and then installs it. It requires the user to have a development environment installed on their system. Also, it takes more time to build the wheels than downloading and extracting the wheels from PyPI.

Resolution

On aarch64, pip install divik should download the wheels from PyPI.

@gmrukwa, Please let me know your interest in releasing aarch64 wheels. I can help with this.

Refactor _distance.py

I've selected _distance.py for refactoring, which is a module of 81 lines of code that couples the top-level components tightly. Addressing this will make our codebase more maintainable and improve Better Code Hub's Couple Architecture Components Loosely guideline rating! ๐Ÿ‘

Here's the gist of this guideline:

  • Definition ๐Ÿ“–
    Minimize the amount of interface code; that is, code in modules that are both called from and call modules of other components ("throughput"), and code in modules that are called from modules of other components ("incoming").
  • Whyโ“
    Having loose coupling between top-level components makes it easier to maintain them in isolation.
  • How ๐Ÿ”ง
    You can hide a component's implementation details through various means, e.g. using the "abstract factory" design pattern.

You can find more info about this guideline in Building Maintainable Software. ๐Ÿ“–


โ„น๏ธ To know how many other refactoring candidates need addressing to get a guideline compliant, select some by clicking on the ๐Ÿ”ฒ next to them. The risk profile below the candidates signals (โœ…) when it's enough! ๐Ÿ


Good luck and happy coding! :shipit: โœจ ๐Ÿ’ฏ


The final goal is to remove distance.py completely from the codebase.

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