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kmeans-clustering

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The implementations in this repository deal with clustering and dimensionality reduction for MNIST digits dataset. Kmeans clustering algorithm is implemented. Also different hierarchical clustering algorithms are tested. We also play with the PCA and TSNE embeddings of the MNIST dataset.

  • Updated May 6, 2018
  • Python

To perform cluster analysis on Fashion MNIST dataset using unsupervised learning, K-Means clustering, and Gaussian Mixture Model clustering is used. The main task is to cluster images and identify it as one of many clusters and to perform cluster analysis on fashion MNIST dataset using unsupervised learning. The model’s effectiveness is measured…

  • Updated Aug 1, 2020
  • Jupyter Notebook

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