Our goal is to develop a climatic classification system that extends understanding of human comfort and guides the design of buildings to provide greater thermal comfort to occupants. We propose that using k-means clustering with multivariate climate data a classification system can be defined to objectively represent comfort zones in the tropics. Our study focuses on Colombia, but the approach extends to other countries located in the tropics.