Can I use kmeans matlab function to perform k-medoids algorithm ?

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Cassie 2011-9-2

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评论： Farrukh Hassan 2020-12-5

Hi I am kind of new to the clustering algorithm so apologize for the bad questions first. I notice that matlab has kmeans built-in function and it can be specified to find component-wise centroid instead of mean by using kmeasn(X,clusterNum,"distance" "city"). I am wondering how this differs from k-medoids algorithm. Does this mean it performs a k-medoids algorithm ? Or it is still a kmeans algorithm ? Is there some way to configure the kmeans function into k-medoids or there is another function for k-medioids ?

Thank you very much,

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the cyclist 2011-9-3

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No, but there is a k-medoids function in the File Exchange:

http://www.mathworks.com/matlabcentral/fileexchange/28898

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Cassie 2011-9-6

Thank you very much,

Farrukh Hassan 2020-12-5

I am trying to calculate different clustering validation indices such as daviesbouldin, gap, silhouette and CalinskiHarabasz for K-means, K-medoids, and heirarichal clustering.i am trying to calculate daviesbouldin and gap index value for k-mediods but i didnt find any solution. if anyone can help.

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