jymesen-wang/2022-TNNLS-FSSC
Source Code for 'Fast Self-Supervised Clustering with Anchor Graph' (T-NNLS)
This project helps researchers and data scientists quickly categorize large datasets without needing extensive labeled examples beforehand. You provide your raw data and specify how many clusters you expect, and the system outputs organized clusters and metrics like accuracy and NMI for evaluating the quality of the grouping. This tool is ideal for machine learning researchers, data analysts, or anyone working with large, unlabeled datasets who needs to discover underlying patterns or groups efficiently.
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Use this if you need to quickly and accurately cluster a large dataset to identify distinct groups, especially when you have limited pre-labeled data.
Not ideal if you require a clustering method that prioritizes interpretability of individual data points within clusters over speed and scalability for very large datasets.
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MATLAB
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Last pushed
Feb 02, 2023
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