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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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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