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 c...