Kamis, 05 Maret 2015

Kmeans Clustering untuk Clustering Citra

Menurut Wiki mengenai K-means clustering seperti berikut

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.
Penulis menggunakan bahasa functional yaitu python untuk mengimplementasikan kmeans
berikut contoh-contoh hasil kmeans clustering

 

ternyata begitu mudah mengimplementasikan algoritma kmeans clustering menggunakan python
 
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