Amanote Research

Amanote Research

    RegisterSign In

Imitating K-Means to Enhance Data Selection

Journal of Applied Sciences
doi 10.3923/jas.2009.3569.3574
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2009

Authors
A. AbidA. JaradatR. Salleh
Publisher

Science Alert


Related search

Selection of K in K-Means Clustering

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Mechanical Engineering
2005English

A Comparative Approach to Cluster Maternal Data Using K-Means and K-Med

International Journal of Research in Pharmaceutical Sciences
ToxicologyPharmaceuticsPharmacology
2019English

Comparison of K-Means Clustering Method and K-Medoids on Twitter Data

Indonesian Journal of Statistics and Its Applications
2020English

A Novel Stability Based Feature Selection Framework for K-Means Clustering

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

BPSO Optimized K-Means Clustering Approach for Data Analysis

International Journal of Computer Applications
2016English

Using K-Means Mathod for Clustering Data With Omissions

Actual problems of automation and information technology
2019English

Enhancing K-Means and Naive Bayes for Data Mining

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2017English

K-Means for Streaming and Distributed Big Sparse Data

2016English

A Hybrid Grey Based K-Means and Feature Selection for Bank Evaluation

Decision Science Letters
Decision Sciences
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy