Determining Natural Disaster Mitigation Level using Unsupervised k-means Clustering-Reference-Cited by-同舟云学术

Determining Natural Disaster Mitigation Level using Unsupervised k-means Clustering

Published:2022-03-30 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)
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Author:

Prasetyadi Abdurrakhman¹,Nugroho Budi¹,Putra Merios Gusan²

Affiliation:

1. National Research and Innovation Agency,Research Center for Data and Information Science,Bandung,Indonesia

2. University of Diponegoro,Faculty of Information System,Semarang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084916/10084921/10085620.pdf?arnumber=10085620

Reference22 articles.

1. Combating Disaster Prone Zone by Prioritizing Attributes With Hybrid Clustering and ANP Approach;srivastava;spatial Information Research,2020

2. Speeding up k-Means algorithm by GPUs

3. Validating clustering of molecular dynamics simulations using polymer models

4. Contextual Outlier Detection on Hotspot Data in Riau Province using k-means Algorithm

5. k -means and GIS for Mapping Natural Disaster Prone Areas in Indonesia;annas;7th Mathematics Science and Computer Science Education International Seminar (MSCEIS),2009

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