Artikel

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

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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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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

JURNAL

Penerbit

Yogyakrta : LPPM - Universitas Sanata Dharma., 2008

Deskripsi Fisik

Hal. 156-166., ilus., tabl.; 29 cm.; Hal. 166

Bahasa

Indonesia

ISBN/ISSN

1410-5888

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

K-MEAN CLUSTERING METHOD
MODEL-BASED CLUSTERING METHOD
EXPECTATION MAXIMIZATION ALGORITHM
BAYESIAN INFORMATION CRITERION

Info Detail Spesifik

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Pernyataan Tanggungjawab

PARDEDE, Timbul

Versi lain/terkait

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