Multivariate Analysis of Clustering Algorithms for Marine Data

An innovative communication ecosystem called the Internet of Underwater Things (IoUT) was created to link underwater things in marine and undersea habitats. The IoUT devices generate massive volume, variety and velocity of data thus classifying marine data as Big Marine Data (BMD). Clustering these...

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Bibliographic Details
Published in:	2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL) pp. 31 - 38
Main Authors:	Vincent, Agnes Nalini, Sakthidasan, K., Laloo, Nassirah, Bagurubumwe, Uhoze
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.03.2024
Subjects:	ant colony optimization Clustering Clustering algorithms Correlation Genetics grouped KMeans Internet of Underwater Things KMeans marine big data Mauritius Measurement particle swarm algorithm practical salinity Prediction algorithms predictive modelling sea surface temperature self organising map Self-organizing feature maps Sentiment analysis
Online Access:	Get full text
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