PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS

Indonesia with abundant natural resources, certainly have a lot of plants are innumerable. To clasify the plants into different clusters can use several methods. Methods used are K-Means and Fuzzy C-Means. However, this methods have difference. Not only in terms of algorithms, but in terms of value...

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Autores principales:	Fitria Febrianti, Moh. Hafiyusholeh, Ahmad Hanif Asyhar
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2016
Materias:	Iris Data Fuzzy Logic Fuzzy C-Means Mining Data k-means Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/a4bff58c8bc54227a65072a607a36139
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:a4bff58c8bc54227a65072a607a361392021-12-02T15:31:56ZPERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS2527-31592527-3167https://doaj.org/article/a4bff58c8bc54227a65072a607a361392016-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/63https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Indonesia with abundant natural resources, certainly have a lot of plants are innumerable. To clasify the plants into different clusters can use several methods. Methods used are K-Means and Fuzzy C-Means. However, this methods have difference. Not only in terms of algorithms, but in terms of value calculation on the root mean square error (RMSE) also different. To calculate the value of RMSE there are two indicators are required, namelt the training data and the checking data. Of discussion, the Fuzzy C-Means method has RMSE values smaller than the K-Means method, namely on 80 training data and 70 checking data with RMSE value 2,2122E-14. This indicates that the Fuzzy C-Means method has a higher level of accuracy than the K-Means methodFitria FebriantiMoh. HafiyusholehAhmad Hanif AsyharDepartment of Mathematics, UIN Sunan Ampel SurabayaarticleIris DataFuzzy LogicFuzzy C-MeansMining Datak-meansMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 2, Iss 1, Pp 7-13 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Iris Data Fuzzy Logic Fuzzy C-Means Mining Data k-means Mathematics QA1-939
spellingShingle	Iris Data Fuzzy Logic Fuzzy C-Means Mining Data k-means Mathematics QA1-939 Fitria Febrianti Moh. Hafiyusholeh Ahmad Hanif Asyhar PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
description	Indonesia with abundant natural resources, certainly have a lot of plants are innumerable. To clasify the plants into different clusters can use several methods. Methods used are K-Means and Fuzzy C-Means. However, this methods have difference. Not only in terms of algorithms, but in terms of value calculation on the root mean square error (RMSE) also different. To calculate the value of RMSE there are two indicators are required, namelt the training data and the checking data. Of discussion, the Fuzzy C-Means method has RMSE values smaller than the K-Means method, namely on 80 training data and 70 checking data with RMSE value 2,2122E-14. This indicates that the Fuzzy C-Means method has a higher level of accuracy than the K-Means method
format	article
author	Fitria Febrianti Moh. Hafiyusholeh Ahmad Hanif Asyhar
author_facet	Fitria Febrianti Moh. Hafiyusholeh Ahmad Hanif Asyhar
author_sort	Fitria Febrianti
title	PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
title_short	PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
title_full	PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
title_fullStr	PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
title_full_unstemmed	PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS
title_sort	perbandingan pengklusteran data iris menggunakan metode k-means dan fuzzy c-means
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2016
url	https://doaj.org/article/a4bff58c8bc54227a65072a607a36139
work_keys_str_mv	AT fitriafebrianti perbandinganpengklusterandatairismenggunakanmetodekmeansdanfuzzycmeans AT mohhafiyusholeh perbandinganpengklusterandatairismenggunakanmetodekmeansdanfuzzycmeans AT ahmadhanifasyhar perbandinganpengklusterandatairismenggunakanmetodekmeansdanfuzzycmeans
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PERBANDINGAN PENGKLUSTERAN DATA IRIS MENGGUNAKAN METODE K-MEANS DAN FUZZY C-MEANS

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