Time Series Clustering Analysis for Increases Food Commodity Prices in Indonesia Based on K-Means Method

Time Series Clustering Analysis for Increases Food Commodity Prices in Indonesia Based on K-Means Method

The global food crisis is perceived to have a significant impact on the national food sector. Time series clustering, a potent data mining technique, is employed to decipher and interpret intricate temporal patterns. Dynamic Time Warping (DTW), a measure that currently appears to be the most relevan...

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Bibliographic Details
Main Authors: M. Fariz Fadillah Mardianto, N. Ramadhan Al Akhwal Siregar, Steven Soewignjo, F. Friska Rahmana Putri, Hadi Prayogi, Citra Imama, Dita Amelia, . Sediono, Deshinta Arrova Dewi
Format: Article
Language:English
Published: Ital Publication 2024-09-01
Series:Journal of Human, Earth, and Future
Subjects:
food commodity prices
dynamic time wraping
k-means
sustainable economy growth
time series clustering.
Online Access:https://hefjournal.org/index.php/HEF/article/view/290
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https://hefjournal.org/index.php/HEF/article/view/290

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