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Code for the paper "A New and Effective Dimension– and Grey Theory Correlation-based Fuzzy C-Means Method for Imputing Incomplete Data"

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Name		Name	Last commit message	Last commit date
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DGC_main.py		DGC_main.py
README.md		README.md
read_dataset.py		read_dataset.py

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DGC-fuzzy-c-means

This repository contains codes for the paper:

A New and Effective Dimension– and Grey Theory Correlation-based Fuzzy C-Means Method for Imputing Incomplete Data

Environment:

At least Python 3.7
Python packages:
- numpy
- scikit-learn
- pyclustering
- munkres
- fcmeans

Demo (How to run)

python DGC_main.py [-d DATASET]

Please put the dataset under /data folder.
The default for DATASET is iris dataset.

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Code for the paper "A New and Effective Dimension– and Grey Theory Correlation-based Fuzzy C-Means Method for Imputing Incomplete Data"

clustering imputation missing-data fuzzy-cmeans-clustering incomplete-data grey-theory

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