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Coronavirus caused a problem with clustering #3

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@ryan-rozario

The heirarchial clustering method we currently used is not effective currently

It performed well when the news articles were different

However with the recent increase in coronavirus articles, the clustering has become very difficult as all the articles are about coronavirus but may have very different sub topics.

The contents are often similar but when clustering the coronavirus clusters get mixed up. Need to get a better clustering method

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