@misc{Kolenda_Maria_Propozycja_2006,
 author={Kolenda, Maria},
 year={2006},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Akademii Ekonomicznej we Wrocławiu. Ekonometria (16); 2006; nr 1100, s. 121-139},
 publisher={Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu},
 language={eng},
 abstract={The paper describes techniques of classification scoring. The basis of a score is determined by a heterogeneity of every cluster and every isolated object in a given classification. A few coefficients have been proposed, which determine various degrees of heterogeneity of clusters and isolated objects. On the basis of these coefficients, four types of classifications have been defined: very good, weak but sufficient, and bad classification. The paper also describes how to easily find "the best" classification for hierarchical methods. The proposed coefficients have been commented and compared with different coefficients, such as SC (Silhouette Coefficient) and average innercluster variation. },
 type={artykuł},
 title={Propozycja nowych mierników heterogeniczności do oceny klasyfikacji},
}