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Perbandingan Metode Berbasis Model Dengan Metode K-Mean Dalam Analisis Gugus



SIGMA : Jurnal Sains Dan Teknologi, Vol. 11, No. 2, Juli 2008, ABSTRAK : K-mean method is a clustering method in which grouping techniques are based only on distance measure among observed objects, without considering statistical aspects. Model-based clustering is a method that uses statistical aspects, as its theoretical basis i.e.probability maximun criterion. This mode has several variations with a variety of geometrical characteristics obtained by mean Gauss component. Dat partition is conducted by utilizing expectation-maximization (EM) algorithm. ...


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22440.1JURNALR. MajalahTersedia namun tidak untuk dipinjamkan - Tidak Dipinjamkan

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JURNAL
Penerbit LPPM - Universitas Sanata Dharma : Yogyakrta.,
Deskripsi Fisik
Hal. 156-166., ilus., tabl.; 29 cm.; Hal. 166
Bahasa
Indonesia
ISBN/ISSN
1410-5888
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