Principal Component Analysis
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Quantitative Assessment of Phenolic and Flavonoid Metabolites and their Contribution to Antioxidant Capacity in Selected Medicinal Plants of North Bihar
Abstract: Introduction: Medicinal plants remain integral to traditional healthcare systems across India, with North Bihar harboring a rich diversity of ethnobotanically significant species. However, systematic quantitative data on the phytochemical profiles and antioxidant potential of these plants from this specific geographical region remain limited. Objective: This study aimed to quantitatively assess the total phenolic content (TPC), total flavonoid content (TFC), and in vitro antioxidant capacity of three medicinally important plants—Azadirachta indica, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 3, 2026 Read article
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A Comparative Study of K-Means, DBSCAN, and Hierarchical Clustering for Content Segmentation in Netflix Movies and TV Shows
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