New algorithm revolutionizes text clustering for improved accuracy and efficiency!
A new clustering algorithm called SC-KH combines K-means and hierarchical clustering to improve accuracy and reduce time complexity. It splits the process into two stages: using K-means for initial clustering and hierarchical clustering for refining. Results show SC-KH outperforms K-means and hierarchical clustering, leading to better clustering quality.