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shamikaredkar / KMeans-Algorithm-Visualizer

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The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.

javascript css html jquery ui-design machine-learning machine-learning-algorithms bulma kmeans kmeans-clustering interactive-visualizations kmeans-clustering-algorithm interactive-webpage
  • Updated Jun 18, 2024
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TeamOutliers6 / TeamOutliers

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This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.

deep-neural-networks computer-vision deep-learning image-processing image-recognition convolutional-neural-networks image-segmentation kmeans-image-clustering kmeans-clustering-algorithm unet-image-segmentation streamlit streamlit-webapp
  • Updated May 2, 2021
  • HTML

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