[PDF][PDF] An overview of partitioning algorithms in clustering techniques

J Swarndeep Saket, S Pandya - International Journal of Advanced …, 2016 - researchgate.net
Data Mining as an area of computer science has been gaining enormous importance in
various fields of business, spatial planning and predictive analysis. Clustering techniques …

Analysis of k-means and k-medoids algorithm for big data

P Arora, S Varshney - Procedia Computer Science, 2016 - Elsevier
Clustering plays a very vital role in exploring data, creating predictions and to overcome the
anomalies in the data. Clusters that contain collateral, identical characteristics in a dataset …

[PDF][PDF] Classification of a COVID-19 dataset by using labels created from clustering algorithms

L Rafea, A Ahmed, WD Abdullah - Indonesian Journal of Electrical …, 2021 - academia.edu
Novel coronavirus (COVID-19) is a newly discovered infectious disease that has received
much attention in the literature because of its rapid spread and daily global deaths …

[PDF][PDF] Implementation of extended K-Medoids algorithms to increase efficiency and scalability using large dataset

J Swarndeep Saket, S Pandya - Int J Comput Appl, 2016 - academia.edu
Clustering techniques are application tools to analyze stored data in various fields.
Clustering is a process to partition meaningful data into useful clusters which can be …

Synergies of text mining and multiple attribute decision making: a criteria selection and weighting system in a prospective MADM outline

S Hashemkhani Zolfani, A Derakhti - Symmetry, 2020 - mdpi.com
In this study, a new way of criteria selection and a weighting system will be presented in a
multi-disciplinary framework. Weighting criteria in Multi-Attribute Decision Making (MADM) …

[PDF][PDF] A Comparative Study on Partitioning Techniques of Clustering Algorithms

G Gandhi, R Srivastava - International Journal of Computer Applications, 2014 - Citeseer
Clustering plays a vital role in research area in the field of data mining. Clustering is a
process of partitioning a set of data in a meaningful sub classes called clusters. It helps …

Prediksi Kemenangan Dan Susunan Tim Pada Game Mobile Legends Bang Bang Menggunakan Algoritma Naïve Bayes

SM Listijo, T Purwani, ST Galih - KOMPUTAKI, 2020 - unaki.ac.id
Mobile Legends is one of the games made by Moonton which is a MOBA (Multiplayer Online
Battle Arena) type and is commonly played via Android and iOS smartphone media. The …

[PDF][PDF] Optimizing Placement of Field Experience Program: An Integration of MOORA and Rule-Based Decision Making.

O Okfalisa, R Hafsari, G Nawanir… - Pertanika Journal of …, 2021 - pertanika2.upm.edu.my
The lack of optimality in the Field Experience Program (FEP) placement has affected
universities' educational services to the stakeholders. Bringing together the stakeholders' …

Finansal başarısızlık tahmini: Yapay sinir ağı ve karar ağacı yöntemleri üzerine bir inceleme

S Hesari - 2018 - search.proquest.com
Finansal başarısızlık, hem işletmeyle doğrudan ilgili gruplar üzerinde hem de genel
ekonomi üzerinde olumsuz etkilere sahip olabilmektedir. Bu nedenle, finansal başarısızlığın …

Modifying genetic algorithm with species and sexual selection by using K-means algorithm

R Patel, MM Raghuwanshi… - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
Presently, the optimization concept plays an important role in the problems related to
engineering management and commerce etc. Recent trends in optimization, points towards …