Intellectual Property India Publishes Patent Application for An Efficient Grid And Density Based Clustering Technique To Detect Global Noisy Samples From High Dimensional Dynamic Dataset

MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641066493 A) filed by Mallesh Babu S; Dr. M. Giri; Dr. V. K. Sharma; Zabi Ur Rahaman K; Mahesha S; and Dr. D. Nagaraju on May 27, 2026, for An Efficient Grid And Density Based Clustering Technique To Detect Global Noisy Samples From High Dimensional Dynamic Dataset.

Inventors include Mallesh Babu S; Dr. M. Giri; Dr. V. K. Sharma; Zabi Ur Rahaman K; Mahesha S; and Dr. D. Nagaraju.

The application for the patent was published on July 10, 2026, under issue no. 28/2026.

Abstract: Clustering methods are used in many applications like psychology, computers, biology, and so technique. DBSCAN algorithm clustering data samples based on density values, but...