on volatility clustering and the emergence of fat tail returns. …

design of the algorithm is inspired in previous clustering algorithms but adding some features to adapt the algorithm to the …

This study suggests time-based clustering models integrating change-point detection and neural networks, and applies … consist of two stages. The first stage, the clustering neural network modeling stage, is to detect successive change points in … clustering to reflect the time. Finally, this study examines the predictability of the integrated neural network models based on …

This paper examines the relationship between spatial clustering and inequality at the county scale with overall state … inequality and spatial clustering and explore how a state's overall income level may be influenced by, or influence, these … relationships between inequality, clustering and relative income levels, and generates a number of interesting avenues for future …