Autor: |
Maniu, Ionela, Maniu, George, Hunyadi, Daniel |
Předmět: |
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Zdroj: |
Ovidius University Annals, Series Civil Engineering; 2014, Issue 16, p143-150, 8p |
Abstrakt: |
In this article we used cluster algorithms i.e. hierarchical and KMeans clustering, with goal of convert data into knowledge and actionable information. After a short introduction on the general concepts of data mining and clustering algorithms we focus on analysis of input data and identifying the groupings of records and their features. Afterwards a comparison was made between the results obtained for the three data sets, considering different values of K. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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