This study provides new mechanisms for identifying and estimating explosive bubbles in mixed-root panel autoregressions …$-means clustering algorithm can correctly recover latent group membership in data of this type and the proposed post-clustering panel … with a latent group structure. A post-clustering approach is employed that combines a recursive $k$-means clustering …

Purpose: This study proposes a new two-stage clustering method to break down the symmetric multiple traveling salesman …-programming model. A comparison with the k-means++ clustering algorithm, one of the most popular clustering algorithms, was made to … study tackles the issue of improving the performance of clustering-based optimization approaches in solving the mTSP by …

-means objective to regression settings. As the regularization parameter m approaches 1, the fuzzy clustering objective converges to …