Posted on • Originally published at reinforcement-learning4.fun on
Given a set of documents, a common task is to group them accordingly to topics or subjects.
A human agent can create a hierarchy of subjects and assign each document to its related issue. However, a clustering algorithm can create this structure automatically and more precisely.
We can apply hierarchical clustering algorithms to group documents … Continue reading Machine Learning Applications: Topic Discovery with Clustering →
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