Data mining tools| rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia

Sudirman, AP Windarto, A Wanto - IOP Conference Series …, 2018 - iopscience.iop.org
Indonesia is an agriculture-based country. Agriculture is a sector that becomes the
backbone of Indonesia's economic development and improvement. Food security is one of …

[PDF][PDF] Classification of natural disaster prone areas in Indonesia using K-means

B Supriyadi, AP Windarto… - International Journal of …, 2018 - academia.edu
Disaster caused by both nature and human factors has resulted in the occurrence of human
casualties, environmental damage, property loss, and psychological impact. The study aims …

Crime detection and criminal identification in India using data mining techniques

DK Tayal, A Jain, S Arora, S Agarwal, T Gupta, N Tyagi - AI & society, 2015 - Springer
In the current paper, we propose an approach for the design and implementation of crime
detection and criminal identification for Indian cities using data mining techniques. Our …

Book data grouping in libraries using the k-means clustering method

SP Tamba, MD Batubara, W Purba… - Journal of Physics …, 2019 - iopscience.iop.org
Clustering is a process of sorting out a data set to become separate cluster groups and each
has similarities, and aims to group the data into one cluster. This research aims to group the …

K-Means clustering of student perceptions on project-based learning model application

D Kuswandi, E Surahman, ZZA Thaariq… - … on Education and …, 2018 - ieeexplore.ieee.org
Project-based learning model is a learning model that emphasizes students to understand
concepts, principles, investigation, decisions and represent products. This model is the right …

Crime prediction and forecasting in Tamilnadu using clustering approaches

S Sivaranjani, S Sivakumari… - … Conference on Emerging …, 2016 - ieeexplore.ieee.org
Crime is one of the most predominant and alarming aspects in our society and its prevention
is a vital task. Crime analysis is a systematic way of detecting and investigating patterns and …

The K-means algorithm evolution

J Pérez-Ortega, NN Almanza-Ortega… - Introduction to data …, 2019 - books.google.com
Clustering is one of the main methods for getting insight on the underlying nature and
structure of data. The purpose of clustering is organizing a set of data into clusters, such that …

Solution to travelling salesman problem by clusters and a modified multi-restart iterated local search metaheuristic

GE Anaya Fuentes, ES Hernández Gress… - PloS one, 2018 - journals.plos.org
This article finds feasible solutions to the travelling salesman problem, obtaining the route
with the shortest distance to visit n cities just once, returning to the starting city. The problem …

Clustering big data for novel health care system

R Saravanakumar, SP Maniraj, AD Barshan… - AIP Conference …, 2023 - pubs.aip.org
In research, the relevance of data science in health care is being explored. It has been
proposed that the health-care sector benefit from a Nutrition Prescription System. In the …

Implementation of clustering unsupervised learning using K-Means mapping techniques

A Abbas, P Prayitno, N Nurkim… - IOP Conference …, 2021 - iopscience.iop.org
The manufacturing sector is one of the major contributors to the Indonesian economy.
Human work is still needed on the production floor in the manufacturing industry to ensure a …