The paper "A Survey of Binary Similarity and Distance Measures" by Seung-Seok Choi, Sung-Hyuk Cha, and Charles C. Tappert from Pace University provides a comprehensive review of binary similarity and distance measures used in various fields such as ecology, biology, ethnology, taxonomy, image retrieval, geology, and chemistry. The authors collected 76 binary similarity and distance measures from the past century and analyzed their correlations using hierarchical clustering. The paper highlights the importance of selecting appropriate measures for accurate data analysis in tasks like clustering and classification. It discusses the historical development of these measures, their definitions, and their applications. The hierarchical clustering results reveal interesting groupings and relationships among the measures, providing insights into their performance and potential applications. The study aims to help researchers choose the most suitable measure for their specific data analysis tasks.The paper "A Survey of Binary Similarity and Distance Measures" by Seung-Seok Choi, Sung-Hyuk Cha, and Charles C. Tappert from Pace University provides a comprehensive review of binary similarity and distance measures used in various fields such as ecology, biology, ethnology, taxonomy, image retrieval, geology, and chemistry. The authors collected 76 binary similarity and distance measures from the past century and analyzed their correlations using hierarchical clustering. The paper highlights the importance of selecting appropriate measures for accurate data analysis in tasks like clustering and classification. It discusses the historical development of these measures, their definitions, and their applications. The hierarchical clustering results reveal interesting groupings and relationships among the measures, providing insights into their performance and potential applications. The study aims to help researchers choose the most suitable measure for their specific data analysis tasks.