We study the problem of performing data clustering in a distributed setting, which is a problem that may arise in many practical areas such as machine learning and data analysis. The way in which the sites communicate and the way data is allocated define a model of communication. We develop a protocol to compute distributed clustering in the Number-on-Forehead model of communication complexity.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCIA