MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018628 A) filed by Dr. B. N. Mohan Kumar; Dr. Vani V; Prof. T. Shilpa; Prof. Vedasree T. K.; Dr. Kanaka Durga Returi; Ms. Vaka Bhavana Goud; Dr. Pralhad K. Mudalkar; Ms. Sowmya S R; and Dayananda Sagar Academy Of Technology & Management, Bengaluru, Karnataka, on Feb. 18, for 'a system and method for incremental feature selection using adaptive feature clustering in high-dimensional datasets.'
Inventor(s) include Dr. B. N. Mohan Kumar; Dr. Vani V; Prof. T. Shilpa; Prof. Vedasree T. K.; Dr. Kanaka Durga Returi; Ms. Vaka Bhavana Goud; Dr. Pralhad K. Mudalkar; and Ms. Sowmya S R.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "A system and method for incremental feature selection using adaptive feature clustering in high-dimensional datasets is disclosed. The invention dynamically groups features into evolving clusters based on similarity measures and incrementally updates the clusters as new features or data instances are introduced, without requiring complete recomputation of the feature space. Feature relevance is evaluated within each cluster, and representative features are selected to form an optimized and reduced feature subset. The proposed approach reduces redundancy, improves computational efficiency, and enhances predictive performance, making it suitable for real-time, streaming, and large-scale data analytics and machine learning applications."
Disclaimer: Curated by HT Syndication.
