11 citations · 12 across the 3 of their papers we have counts for
3 papers
Approximating Clustering for Memory Management and request processing
D. D. D. Suribabu, T. Hitendra Sarma, B. Eswar Reddy
Clustering is a crucial tool for analyzing data in virtually every scientific and engineering discipline. There are more scalable solutions framed to enable time and space clusteri…
A Tunable Particle Swarm Size Optimization Algorithm for Feature Selection
Naresh Mallenahalli, T. Hitendra Sarma
Feature selection is the process of identifying statistically most relevant features to improve the predictive capabilities of the classifiers. To find the best features subsets, t…
An improvement to k-nearest neighbor classifier
T. Hitendra Sarma, P. Viswanath, D. Sai Koti Reddy +1
K-Nearest neighbor classifier (k-NNC) is simple to use and has little design time like finding k values in k-nearest neighbor classifier, hence these are suitable to work with dyna…