New method revolutionizes chaotic correlation dimension calculation for accurate predictions.
The article introduces a new method to accurately calculate the correlation dimension of chaotic systems. Traditional methods struggle with irregular correlation dimension curves, leading to inaccurate results. The new method uses a computer-implemented approach based on the K-means clustering algorithm to identify the scaling regime in correlation dimension plots. This method is more effective in handling irregular curves and has been demonstrated to work well with data from chaotic attractors and real load time series.
