Influence of Distance Measure Choice On the Results of Hierarchical Clustering (CROSBI ID 567683)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pinjušić, Sofija ; Vranić, Mihaela
engleski
Influence of Distance Measure Choice On the Results of Hierarchical Clustering
Hierarchical clustering method is used to assign observations into clusters which are further connected to form a hierarchical structure. Observations in the same cluster are close together according to the predetermined distance measure while observations belonging to distinct clusters are afar. This paper presents an implementation of specific distance measure used to calculate distances between observations which are described by a mixture of variable types. Data mining tool ‘Orange’ offers ways to program new modules in an efficient manner so it was used for implementation, testing, data processing and result visualization. Finally, a comparison was made between results obtained by previously available widget and output of newly programmed widget which employed new variable types and new distance measure.
Hierarchical clustering; Distance measure; Variable types
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Podaci o prilogu
219-224.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 33rd international convention on information and communication technology, electronics and microelectronics - MIPRO 2010, Vol. V. conferences: DE, ISS, miproBIS, GLGPS, SP
Čišić, Dragan ; Hutinski, Željko ; Baranović, Mirta ; Mauher, Mladen ; Pletikosa , Marko
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-055-7
Podaci o skupu
33rd international convention on information and communication technology, electronics and microelectronics - MIPRO 2010 - Business Intelligence Systems
predavanje
24.05.2010-28.05.2010
Opatija, Hrvatska