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Why not use K means clustering?
K-Means clustering algorithm fails to give good results when the data contains outliers, the density spread of data points across the data space is different and the data points follow non-convex shapes.
How do you do K means clustering in Matlab?
idx = kmeans( X , k ) performs k-means clustering to partition the observations of the n-by-p data matrix X into k clusters, and returns an n-by-1 vector ( idx ) containing cluster indices of each observation. Rows of X correspond to points and columns correspond to variables.
What does K-means do in Matlab?
k-means clustering is a partitioning method. The function kmeans partitions data into k mutually exclusive clusters and returns the index of the cluster to which it assigns each observation. kmeans treats each observation in your data as an object that has a location in space.
How to use k means clustering in MATLAB?
L = imsegkmeans (I,k) segments image I into k clusters by performing k-means clustering and returns the segmented labeled output in L. [L,centers] = imsegkmeans (I,k) also returns the cluster centroid locations, centers. L = imsegkmeans (I,k,Name,Value) uses name-value arguments to control aspects of the k-means clustering algorithm.
Where are the cluster centroid locations in MATLAB?
The cluster centroid locations are the RGB values of each of the 50 colors. Convert the label matrix into an RGB image. Specify the cluster centroid locations, C, as the colormap for the new image. Display the quantized image.
How to create clustering based image segmentation in MATLAB?
Image to segment, specified as a 2-D grayscale image, 2-D color image, or 2-D multispectral image. Number of clusters to create, specified as a positive integer. Specify optional comma-separated pairs of Name,Value arguments. Name is the argument name and Value is the corresponding value.
What is number of clusters to create in imsegkmeans MathWorks?
Image to segment, specified as a 2-D grayscale image, 2-D color image, or 2-D multispectral image. Number of clusters to create, specified as a positive integer.