IJARSCT ISSN (Online) 2581-9429 International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) International Open-Access, Double-Blind, Peer-Reviewed, Refereed, Multidisciplinary Online Journal Volume 3, Issue 1, October 2023 Copyright to IJARSCT DOI: 10.48175/568 207 www.ijarsct.co.in Impact Factor: 7.301 Clustering Technique for Analyzing Lifestyle of Health and Sustainability of Undergraduate Students Bishal Das 1 , Surajit Mahato 2 and Dr. Subir Sen 3* Former Student, Department of Education 1 Research Scholar, Department of Education 2 Associate Professor, Department of Education 3* Sidho-Kanho-Birsha University, Purulia, West Bengal, India 1,2 &3 Corresponding Author: *Dr. Subir Sen (subirsenmath@gmail.com) Abstract: In this study, we delve into the realm of undergraduate students’ perceptions of Adopting a pioneering two-step Clusters Analysis method promotes a lifestyle cantered on well-being and environmental sustainability. This method uncovers a multitude of distinctive clusters, with the geographical location of these undergraduates playing a pivotal role in shaping these groupings. Our investigation extends to evaluating the influence of various predictors on the formation of these clusters, revealing unique relationships between each cluster and the predictors examined. Notably, our findings illuminate that as the number of clusters increases, so does the complexity of predictor variables. Furthermore, we unearth a compelling revelation - that Location emerges as the paramount predictor, with differing perspectives on Lifestyle of Health and Sustainability conspicuously correlated with the geographic origins of these undergraduate students. Keywords: Lifestyle of Health and Sustainability, Cluster Analysis, Simple Random Sampling, Predictors, Undergraduate Students. I. INTRODUCTION The 21 st century has witnessed a remarkable transformation in the way people lead their lives, giving rise to a dynamic and ever-evolving concept known as “Lifestyle”. This century has been marked by rapid technological advancements, globalization, shifting societal norms, and changing priorities, all of which have collectively reshaped the way individuals and communities across the globe approach and define their lifestyles. As we navigate the complexities of this new era, understanding the multifaceted dimensions of lifestyle in the 21 st century becomes crucial (Adhikari, 2023). This brief exploration delves into the diverse facets that constitute this contemporary way of life, encompassing everything from technology-driven habits to sustainable living (Haldar et al., 2022), and the profound impact these changes have on our daily experiences, values, and aspirations. In this time health (Khatun et al., 2022) and environmental sustainability are two critical pillars of our global well-being that are intrinsically interconnected. In an era characterized by rapid population growth, urbanization, and industrialization, the health of our planet and the health of its inhabitants are more intertwined than ever before. This symbiotic relationship has profound implications for the long-term well-being of both humanity and the ecosystems that support life on Earth. Environmental factors play a significant role in determining human health outcomes. Air and water quality, exposure to hazardous chemicals, access to green spaces, and the availability of clean energy sources all contribute to the overall health of populations. Conversely, the health of individuals and societies directly impacts the environment. Unhealthy practices, such as excessive resource consumption, pollution, and deforestation, can accelerate environmental degradation and threaten the planet's sustainability. Lifestyle encompasses the intricate web of choices, behaviours, habits, and values that define how individuals live their lives. There are various components of Lifestyle of Health and Sustainability (LOHAS) – Physical Fitness (PF), Mental Health (MH), Emotional Health (EH), Spiritual Health (SH), Environmentalism (ENV), and Social Consciousness (SC), which are taken up in this study through two-step cluster analysis. Clustering is a fundamental technique in statistics that plays a pivotal role in data analysis, pattern recognition, and machine learning. It is a method used to group similar data points together based on certain characteristics or features they share, ultimately revealing hidden structures within a dataset. In clustering, the primary goal is to partition a dataset into