In the digital age, academic libraries play a crucial role in providing resources and services to support the educational and research needs of faculty and students. This study aims to explore faculty and student perceptions using a clustering algorithm approach. By categorizing participants into distinct clusters based on their perceptions, the study seeks to uncover patterns in how different groups interact with library resources and services. The results of this research could provide insights into tailoring library offerings to better meet the diverse needs of faculty and students. This study employs a novel approach by integrating clustering algorithms to analyze and categorize the perceptions of these stakeholders. Through surveys administered to faculty members and students, data on resource usage, preferences, challenges, and satisfaction are collected. The study contributes to enhancing library services by tailoring them to specific user segments and addressing their distinct needs. Ultimately, the research underscores the critical role of understanding user perceptions in optimizing library resources and services for the evolving digital age.