<ul data-eligibleForWebStory="false"><li>A study aimed to propose an optimal clustering mechanism for occupations in the O*NET database.</li><li>The study used BERT-based techniques and various clustering approaches to create a map between different definitions of occupations.</li><li>The impact of dimensionality reduction on clustering algorithms' performance metrics was assessed in the study.</li><li>Results improved by utilizing a specialized silhouette approach, potentially aiding individuals in transitioning careers.</li></ul>

Improving Clustering on Occupational Text Data through Dimensionality Reduction

Discover more