Speeding-Up the K-Means Clustering Method: A Prototype Based Approach. - T. Hitendra Sarma; P. Viswanath (PReMI, 2009)

An improvement to k-nearest neighbor classifier - T. Hitendra Sarma; P. Viswanath; Sai Koti Reddy Danda; S. Sri Raghava (CoRR, 2013)

A hybrid approach to speed-up the k-means clustering method. - T. Hitendra Sarma; P. Viswanath; B. Eswara Reddy (Int. J. Mach. Learn. Cybern., 2013)

Speeding-up the kernel k-means clustering method: A prototype based hybrid approach. - T. Hitendra Sarma; P. Viswanath; B. Eswara Reddy (Pattern Recognit. Lett., 2013)

Speeding-up the prototype based kernel k-means clustering method for large data sets. - T. Hitendra Sarma; P. Viswanath; Atul Negi (IJCNN, 2016)

A Tunable Particle Swarm Size Optimization Algorithm for Feature Selection. - Naresh K. Mallenahalli; T. Hitendra Sarma (CEC, 2018)

A Multiple Branch Fusion Network for Feature Learning and Hyperspectral Image Classification. - Murali Kanthi; K. Venkateshwara Rao; Sudha Pavani K; Nuthanakanti Bhaskar; Shankar Nayak Bhukya; T. Hitendra Sarma (ICCCNT, 2023)

Optimal Band Selection in Hyperspectral Images Using Improved K-Means Clustering with Spectral Similarity Measures. - O. Subhash Chander Goud; T. Hitendra Sarma; C. Shobha Bindu (IICAIET, 2023)

Approximating Clustering for Memory Management and request processing. - D. D. D. Suribabu; T. Hitendra Sarma; B. Eswara Reddy (CoRR, 2023)

Efficient Hyperspectral Band Selection Using GA-SR-NMI-VI: A Hybrid Similarity and Evolutionary-Based Approach. - Neeraj Kumar Nadipelli; T. Hitendra Sarma; R. Dharma Reddy; Kovvur Ram Mohan Rao; K. Mrudula; Murali Kanthi (IEEE Geosci. Remote. Sens. Lett., 2025)