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The importance of standardization and normalization in cluster analysis

100%

Trebuna P., Halcinova J.

Intercathedra

2013

tom 29

nr 1

The values of each character as they are often the results of measurements in different units, and it can cause that some characters seem to be dominating a few other characters influenced the course of cluster analysis. The methods of cluster analysis based on the quantitative expression similarity relations, it would not work with data-dependent unit of measurement. Therefore, it is appropriate to transfer their characters to standardization or normalization.

Appraisal of employee's work history by use of cluster analysis

80%

Markovic J., Halcinova J., Trebuna P.

Intercathedra

2014

tom 30

nr 1

This article focuses on pointing out the possibility of using cluster analysis of the questionnaire survey. The survey is aimed at the working history of employees of several companies. The result of clustering is dendrogram, which graphically illustrates the clusters at different levels of aggregation. The output of process is cumulative assessment of cluster analysis work history.

Ograniczanie wyników

2 Intercathedra

2 Halcinova J.

2 Trebuna P.

1 Markovic J.

1 2014

1 2013

Wyniki wyszukiwania

The importance of standardization and normalization in cluster analysis

Appraisal of employee's work history by use of cluster analysis