In meansclustering, the number of clusters can be determined in R prog

1.	In meansclustering, the number of clusters can be determined in R programming orWSSGAP_STATAll of the mentionedSILHOUETTE
Answer» Explanation: Determining the optimal NUMBER of clusters in a data set is a FUNDAMENTAL issue in partitioning clustering, such as k-means clustering, which requires the USER to specify the number of clusters k to be generated. Unfortunately, there is no DEFINITIVE answer to this question. The optimal number of clusters is somehow subjective and depends on the method used for measuring similarities and the parameters used for partitioning. A simple and popular solution CONSISTS of inspecting the dendrogram produced using hierarchical clustering to see if it suggests a particular number of clusters. Unfortunately, this approach is also subjective Hope this helps

In meansclustering, the number of clusters can be determined in R programming orWSSGAP_STATAll of the mentionedSILHOUETTE

Answer»

Explanation:

Determining the optimal NUMBER of clusters in a data set is a FUNDAMENTAL issue in partitioning clustering, such as k-means clustering, which requires the USER to specify the number of clusters k to be generated.

Unfortunately, there is no DEFINITIVE answer to this question. The optimal number of clusters is somehow subjective and depends on the method used for measuring similarities and the parameters used for partitioning.

A simple and popular solution CONSISTS of inspecting the dendrogram produced using hierarchical clustering to see if it suggests a particular number of clusters. Unfortunately, this approach is also subjective

Hope this helps

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