ElieAljalbout/Clustering-with-Deep-learning
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
This project helps researchers and data scientists categorize large collections of images without needing pre-labeled examples. You provide a dataset of images, and it outputs a more organized, clustered representation of those images along with metrics and visualizations of the identified groups. This is useful for anyone working with unlabeled image data who needs to discover natural groupings or hidden patterns.
295 stars. No commits in the last 6 months.
Use this if you have a collection of images and need to automatically group similar items together without prior knowledge of what those groups should be.
Not ideal if you already have labeled data and want to classify new images into known categories, or if your data is not primarily image-based.
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295
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80
Language
Python
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Last pushed
Jul 07, 2018
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