16 citations · 28 across the 4 of their papers we have counts for
5 papers
Novel text categorization by amalgamation of augmented k-nearest neighborhood classification and k-medoids clustering
RamachandraRao Kurada, Dr. K Karteeka Pavan
Machine learning for text classification is the underpinning of document cataloging, news filtering, document steering and exemplification. In text mining realm, effective feature…
A preliminary survey on optimized multiobjective metaheuristic methods for data clustering using evolutionary approaches
Ramachandra Rao Kurada, Dr. K Karteeka Pavan, Dr. AV Dattareya Rao
The present survey provides the state-of-the-art of research, copiously devoted to Evolutionary Approach (EAs) for clustering exemplified with a diversity of evolutionary computati…
Automatic Clustering with Single Optimal Solution
K. Karteeka Pavan, Allam Appa Rao, A. V. Dattatreya Rao
Determining optimal number of clusters in a dataset is a challenging task. Though some methods are available, there is no algorithm that produces unique clustering solution. The pa…
Robust seed selection algorithm for k-means type algorithms
K. Karteeka Pavan, Allam Appa Rao, A. V. Dattatreya Rao +1
Selection of initial seeds greatly affects the quality of the clusters and in k-means type algorithms. Most of the seed selection methods result different results in different inde…
An Automatic Clustering Technique for Optimal Clusters
K. Karteeka Pavan, Allam Appa Rao, A. V. Dattatreya Rao
This paper proposes a simple, automatic and efficient clustering algorithm, namely, Automatic Merging for Optimal Clusters (AMOC) which aims to generate nearly optimal clusters for…