Abstract

RUIZ ARANIBAR, Gustavo. Análisis de conglomerados. Revista Varianza [online]. 2019, n.16, pp. 65-84. ISSN 9876-6789.

Abstract Cluster analysis involves grouping objects, subjects or variables, with similar characteristics into groups. Similarity or dissimilarity of objects is measured by a particular index of association. Types of methods that cluster variables based on correlation structure of variables. In some geologic studies it is desirable to group together similar samples on which many measurements have been made, and to measure the degree of similarity between the groups. Using either a coefficient, the matching coefficient, or the distance function, the resulting matrix is usually too large for direct interpretation. Cluster analysis, a technique developed by psychologists, is a method of searching for relationships in a large symmetrical matrix. Specified variables or groups of variables can then be used in clustering the samples by distance function.

Keywords : Correlation coefficient; dendogram; distance; taxonomy; similarity.