New Algorithm Improves Accuracy of High-Dimensional Data Clustering
High-dimensional data clustering can be challenging due to noisy and low-quality data. A new clustering algorithm called Improved CLARA helps address this issue by efficiently handling large datasets and reducing computing time and memory usage. Compared to other clustering methods like CURE and BIRCH, Improved CLARA shows better accuracy in clustering high-dimensional data.