grokhi/pytorch_DEC_IDEC_2022
Rewritten Deep Embedded Clustering (DEC) and Improved DEC (IDEC) algorithms for the current version of pytorch
This project helps data scientists and machine learning engineers analyze large text datasets by grouping similar documents together without needing pre-labeled examples. It takes raw text data as input and outputs clusters of documents, allowing users to discover underlying themes or categories within their textual information. This is ideal for researchers or analysts working with unstructured text who need to find patterns.
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Use this if you need to automatically categorize or find hidden groupings within large collections of text data where you don't have predefined labels.
Not ideal if you already have labeled data and want to train a supervised classification model, or if you need to perform tasks other than text clustering.
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MIT
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Last pushed
Dec 12, 2022
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