Correlation Clustering

Correlation clustering is a data mining technique used in quantitative finance to group financial assets or market participants based on the similarity of their price movements or behavioral patterns. In the context of cryptocurrency and derivatives, it identifies clusters of assets that exhibit high correlation, often moving in tandem due to shared underlying risks or market sentiment.

This method does not require a predefined number of clusters, making it highly effective for discovering hidden relationships within large datasets of token prices or option volatility surfaces. By analyzing these clusters, traders and risk managers can better understand diversification benefits or identify pockets of systemic risk where multiple assets might fail simultaneously.

It is a powerful tool for portfolio optimization and hedging strategies in complex digital asset markets.