This repository contains an implementation of the K-means clustering algorithm. Initially applied to a 2D dataset, the project progresses to clustering the MNIST dataset. Follow step-by-step instructions to visualize data, initialize centroids, implement K-means, and evaluate clustering models.
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This repository contains an implementation of the K-means clustering algorithm. Initially applied to a 2D dataset, the project progresses to clustering the MNIST dataset. Follow step-by-step instructions to visualize data, initialize centroids, implement K-means, and evaluate clustering models.
Shashankk99/K-means-Clustering-2D-Data-and-MNIST-Dataset
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This repository contains an implementation of the K-means clustering algorithm. Initially applied to a 2D dataset, the project progresses to clustering the MNIST dataset. Follow step-by-step instructions to visualize data, initialize centroids, implement K-means, and evaluate clustering models.
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