How to find the optimal K value in grashopper wallaceik-means clustering? Are we looking at the graph to find the appropriate number? Or is there a separate way to find the K value? I’d like to ask for advice from those who have done wallacei optimization.
The “K” value represents the number of clusters you aim to create in your dataset. It is a crucial parameter in clustering algorithms like K-means, as it defines the granularity of the clustering process. Importantly, there is no universally optimal K value—it is highly dependent on the specific objectives of your analysis. The choice of K should align with the purpose behind clustering, whether it is to uncover natural groupings in the data, simplify data interpretation, or meet domain-specific needs.