Cyberoctane29/Optimizing-K-in-K-means-A-Visual-and-Quantitative-Exploration

Exploring K-means clustering through image color compression and high-dimensional data analysis. Learn how pixel grouping in RGB space builds intuition, while inertia/silhouette scores optimize clusters. Demonstrates K-means' power to reveal patterns in both visual and abstract data by optimizing groupings and selecting ideal k-values.

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Winterwind/KMeansProject

A short two-part project that uses kmeans for clustering and image compression

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jayantee12/K-means-from-scratch

An application of K means clustering coded in Python from scratch.

Language: Python - Size: 152 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

dshahrokhian/kmeans-image-compression

:city_sunset: Image lossy-compression framework based on color-clustering

Language: Python - Size: 2.8 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 7 - Forks: 4

kchatr/kmeans-image-compression

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.

Language: Python - Size: 10.7 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

saminens/Machine-Learning-Models

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

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Mounaki/Machine-Learning

Language: Jupyter Notebook - Size: 200 KB - Last synced at: 19 days ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 1