Amanote Research

Amanote Research

    RegisterSign In

Introducing Hybrid Model for Data Clustering Using K-Harmonic Means and Gravitational Search Algorithms

International Journal of Computer Applications
doi 10.5120/15445-4002
Full Text
Open PDF
Abstract

Available in full text

Date

February 14, 2014

Authors
Anuradha D.ThakareRohini S Hanchate
Publisher

Foundation of Computer Science


Related search

New Genetic Gravitational Search Approach for Data Clustering Using K-Harmonic Means

International Journal of Computer Applications
2014English

Image to Image Search Using K-Means Clustering

International Journal of Computer Applications
2019English

Using K-Means Mathod for Clustering Data With Omissions

Actual problems of automation and information technology
2019English

Secure and Dynamic Multi-Keyword Ranked Search Scheme Over Encrypted Cloud Data Using K-Means Clustering

International Journal of Scientific Research in Science and Technology
2019English

Motion Classification Using Proposed Principle Component Analysis Hybrid K-Means Clustering

Engineering
2013English

K-Means-Based Consensus Clustering : Algorithms, Theory and Applications

English

FPGA-based K-Means Clustering Using Tree-Based Data Structures

2013English

Design of a New Hybrid Model Using K-Means Clustering and Two Class Neural Network for Heart Disease Prediction

Journal of Engineering and Applied Sciences
Engineering
2019English

BPSO Optimized K-Means Clustering Approach for Data Analysis

International Journal of Computer Applications
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy