Abstract The paper proposes a new approach to the agglomeration of data in cluster analysis. These approach faces the problem of data classification where under the same conditions different conclusions are draw. Such problems occur in many areas of daily life: medicine, technology, and economic and social sciences and economics. The new approach assumes that events like the harvest are attributed to the cumulative probability of their occurrence at the same time. Such approaches will not be found in probability. Thanks to the mathematical theory of records fairly accurate classification of the object can be provided. The paper presents a method of agglomeration of measurement data using the mathematical theory of records. This is the method which can be used in the cluster analysis by agglomeration.
THE USE OF CLUSTER ANALYSIS AND THE THEORY OF MATHEMATICAL RECORDS IN THE PROCESS OF PLANNING THE PRODUCTION-WAREHOUSE FLOW
Research in Logistics & Production to kwartalne, interdyscyplinarne, międzynarodowe czasopismo naukowe, w którym prezentowane są recenzowane artykuły. Czasopismo obejmuje wszystkie aspekty logistyki i produkcji.