Feature discovering in medical data sets using cluster algorithms.

Autor: Maniu, Ionela, Maniu, George, Hunyadi, Daniel
Předmět:
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