Online-Customers Segmentation on PT. Rumah Mebel Nusantara (Ikea) in Semarang Region By Using K-Means Analysis With SPSS

Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms

segmentation of photospheric solar images by using c-means,k-means, and fcm algorithms

K-Means Cluster Analysis for Image Segmentation

Does K-Means reasonably divides the data into k groups is an important question that arises when one works on Image Segmentation? Which color space one should choose and how to ascertain that the k we determine is valid? The purpose of this study was to explore the answers to aforementioned questions. We perform K-Means on a number of 2-cluster, 3cluster and k-cluster color images (k>3) in RGB ...

Texture Segmentation by using Haar Wavelets and K-means Algorithm

In this paper we focus on image segmentation by proposing a new algorithm based on Haar wavelet decomposition and Kmeans algorithm. When Haar wavelet decomposition is applied to an image it gives an idea about high frequency components. If higher levels of decomposition are performed, different texture region information can be captured. The paper deals with the texture segmentation of an image...

Image Segmentation Using Semi-Supervised k-Means

Extracting the region of interest is a very challenging task in Image Processing. Image segmentation is an important technique for image processing which aims at partitioning the image into different homogeneous regions or clusters. Lots of general-purpose techniques and algorithms have been developed and widely applied in various application areas. In this paper, a Semi-Supervised k-means segm...