Clustering Algorithms Evaluation

"Clustering Algorithms Evaluation" refers to the process of systematically assessing the performance of clustering algorithms. Its primary goal is to objectively measure the effectiveness and stability of different clustering algorithms on specific datasets through quantitative metrics and statistical methods, to identify the most suitable algorithm for the application scenario. This evaluation helps optimize clustering outcomes, enhancing the accuracy and reliability of data analysis, and is widely applied in fields such as data mining, machine learning, and pattern recognition.