An Approach for Finding Anthropogenic Prediction Using Novel Cluster Analysis Technique over Exploratory Approach Based on Accuracy

S. Sumanth, N. Deepa

2023

Abstract

The objective of this research is to make a specialty of anthropogenic prediction by way of using a better cluster evaluation approach on a dataset by means of evaluating with the E exploratory Approach. Materials and using an exploratory approach method with a sample size of 27 and a novel cluster analysis technique with a sample size of 27, respectively, and a G power of 80%, an accurate anthropogenic prediction was made. Results: The accuracy of the Innovative Cluster Analysis Method is 77.26%, which is somewhat more than the accuracy of the Exploratory Approach, which is 73.07%. With p=0.294 (p>0.05), it demonstrates there is no statistically significant difference comparing New Cluster Analysis Method as well as Exploratory technique. Conclusion: When compared to the subsets of variables in the marginal distribution and the exploratory approach, which has an accuracy of 73.07%, novel cluster analysis technique has a greater accuracy of 77.26%.

Paper Citation

in Harvard Style

Sumanth S. and Deepa N. (2023). An Approach for Finding Anthropogenic Prediction Using Novel Cluster Analysis Technique over Exploratory Approach Based on Accuracy. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 96-102. DOI: 10.5220/0012567000003739

in Bibtex Style

@conference{ai4iot23,
author={S. Sumanth and N. Deepa},
title={An Approach for Finding Anthropogenic Prediction Using Novel Cluster Analysis Technique over Exploratory Approach Based on Accuracy},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={96-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012567000003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - An Approach for Finding Anthropogenic Prediction Using Novel Cluster Analysis Technique over Exploratory Approach Based on Accuracy
SN - 978-989-758-661-3
AU - Sumanth S.
AU - Deepa N.
PY - 2023
SP - 96
EP - 102
DO - 10.5220/0012567000003739
PB - SciTePress