(TTI) to study traffic congestion on a macro level (zones) without limiting our research to clustering the zones by …

, medical illness diagnosis, clustering, and Multi-Criteria Decision-Making (MCDM) to further exhibit its practicability and …

, distortions, and poor decisions. The presence of missing values in data introduces inaccuracies in clustering and classification … comparing the performance of imputation techniques using clustering metrics and algorithms (e.g., k-means, Partitioning Around …

node embedding and deep learning have surpassed spectral clustering and statistical inference as the preferred methods for … activation function for generating feature vectors and applied clustering technique for predicting communities. The CD2NE …

performance of cluster-based undersampling technique: (i) inject unlabeled data into training data for improved clustering; (ii …