A Python-based image compression tool that uses the K-Means clustering algorithm to reduce images to their 16 dominant colors. This unsupervised learning approach significantly reduces image size while preserving visual quality, making it ideal for optimizing storage and performance.
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A Python-based image compression tool that uses the K-Means clustering algorithm to reduce images to their 16 dominant colors. This unsupervised learning approach significantly reduces image size while preserving visual quality, making it ideal for optimizing storage and performance.
ThevinduSK/Image-Compressor-KMeans
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A Python-based image compression tool that uses the K-Means clustering algorithm to reduce images to their 16 dominant colors. This unsupervised learning approach significantly reduces image size while preserving visual quality, making it ideal for optimizing storage and performance.
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