K-Means Clustering Based on Distance Measures: Stunting Prevalence Clustering in South Kalimantan-Reference-Cited by-同舟云学术

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K-Means Clustering Based on Distance Measures: Stunting Prevalence Clustering in South Kalimantan

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Author:

Yusuf Akhmad¹

Affiliation:

1. University of Lambung Mangkurat,Faculty of Mathematics and Natural Sciences,Departement of Mathematics,Banjarmasin,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051846/10052791/10052925.pdf?arnumber=10052925

Reference22 articles.

1. Coal Trade Data Clustering Using K-Means (Case Study Pt. Global Bangkit Utama);rahman;ITSMART J Teknol dan Inf,2017

2. Perbandingan Algoritma K-Means dan SFCM Pada Pengelompokkan Rumah Tangga Miskin

3. Algoritma K-Means Clustering untuk Menentukan Nilai Gizi Balita

4. Customer Segmentation using K-means Clustering

5. Robust Distance Measures for kNN Classification of Cancer Data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classifying Stunting Status in Toddlers Using K-Nearest Neighbor and Logistic Regression Analysis;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Spatial Clustering of Child Malnutrition in Central Java: A Comparative Analysis Using K-Means and DBSCAN;2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA);2023-11-24

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