Machine Learning Applications: Topic Discovery with Clustering

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 →