content segmentation

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• Published Subscription Original Research 15 Aug 2026

  A Comparative Study of K-Means, DBSCAN, and Hierarchical Clustering for Content Segmentation in Netflix Movies and TV Shows

  By Girish Karhana, Rohan, Indar Kumar

  Abstract: Over-the-top (OTT) platforms like Netflix offer a vast and diverse range of movies as well as television programs, resulting in a difficult task of content organization. The unsupervised machine learning technique of clustering is an efficient approach to organizing these OTT platforms, as this technique helps in the grouping of content on the basis of their similar semantics, i.e., without using any labeled data. The study explores the use of …

  Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 · pp. 9–16 Read article →