CONCEPTUAL MODEL OF CLUSTERING DATA
This article formed the conceptual model and analyzed the clustering of data. Given the initial characteristics of this model describes the possible algorithms are implemented within its framework. Each algorithm is evaluated in terms of applicability to different types of data and is described in terms of options and versatility. Particular attention is given to the analysis of fuzzy algorithms. In parallel, formulated the concept of "fuzzy and linguistic variables. Each fuzzy set algorithm based on fuzzy and linguistic variables. The article also highlights the membership functions for input and output data in a conceptual model of fuzzy clustering.