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DBSCAN Clustering Algorithm Implementation in Python


Input data consists of 8580 text records(news records) in sparse format without labels.

This program -

• Implements the DBSCAN clustering algorithm.
• Deals with text datain document-term sparse matrix format.
• Designs a proximity function for text data.
• Uses dimensionality reduction to deal with Curse of Dimensionality.

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DBSCAN algorithm from scratch in Python -- to cluster text records.

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