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Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.

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Consensus_Clustering.ipynb		Consensus_Clustering.ipynb
Generating_CLustering_with_different_Clustering_algorithms.ipynb		Generating_CLustering_with_different_Clustering_algorithms.ipynb
README.md		README.md

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Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering

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Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.

clustering imbalanced-data consensus-clustering undersampling-technique

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