🌆 Image lossy-compression framework based on color-clustering
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Updated
Mar 14, 2017 - Python
🌆 Image lossy-compression framework based on color-clustering
Machine Learning models on Anomaly detection, Recommender system on movies based on IMDB dataset, Digit Identification using Logistic regression, Neural network based facial feature recognition, PCA, SVM based Spam filter, Logistic Regression - Nelder Mead
A short two-part project that uses kmeans for clustering and image compression
An application of K means clustering coded in Python from scratch.
An image compression web app that uses K-means clustering for optimized lossy compression. The program uses Streamlit to allow the user to upload their own photo and allow them to choose how lossy the compression should be.
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