PENERAPAN ALGORITMA INVASIVE WEED OPTIMIZATION UNTUK PENENTUAN TITIK PUSAT KLASTER PADA K-MEANS

K-means is one of the most popular clustering algorithm. One reason for the popularity of K-means is it is easy and simple when implemented. However, the results of K-means is very sensitive to the selection of initial centroid. The results are often better after several experi...

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Bibliographic Details
Main Authors: , I PUTU ADI PRATAMA, , Drs. Agus Harjoko, M. Sc., Ph. D.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/130631/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71057
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Institution: Universitas Gadjah Mada

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