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Fuzzy Clustering for Cryptocurrency Trends by Martín Alberto Valverde Michalsky is a document available to read on EtoBox.

What is Fuzzy Clustering for Cryptocurrency Trends about?

The document presents a study on a Fuzzy Clustering Algorithm for predicting trends in the digital currency market, focusing on cryptocurrencies like Bitcoin and Ethereum. It discusses the challenges of forecasting due to market volatility and proposes a multi-criteria decision-making approach that utilizes fuzzy models to enhance prediction accuracy. The research demonstrates that the level set-based fuzzy clustering method outperforms traditional methods in predicting cryptocurrency price changes, providi

Author

Martín Alberto Valverde Michalsky

Language

EN