Addressing Extensive Missingness in Newspaper-Reported Suicide Data Through Imputation and Clustering Techniques

The study’s significant contribution is the development of an expanded, comprehensive dataset of newspaper-reported suicide cases in Bangladesh and a systematic evaluation of imputation–clustering approaches. It advances existing work by comparing these approaches against no-imputation baselines using a balance-aware cluster-validity metric, while also assessing their robustness across different metric weightings to identify the most effective combinations.