Evalclusters matlab. SilhouetteEvaluation is an object consisting of sample data (X), clustering data (OptimalY), and silhouette criterion values (CriterionValues) used to evaluate the optimal number of data clusters (OptimalK). Load the fisheriris data set. Identify the optimal number of clusters in a data set by using the evalclusters function. This MATLAB function creates a clustering evaluation object containing data used to evaluate the optimal number of data clusters. As an alternative, you can interactively perform k -means clustering by using the Cluster Data Live Editor task. Cluster Evaluation Objects Topics Evaluate Optimal Number of Clusters Identify the optimal number of clusters in a data set by using the evalclusters function. . com Aug 26, 2014 ยท Open in MATLAB Online Hello, you have 2 way to do this in MatLab, use the evalclusters () and silhouette () to find an optimal k, you can also use the elbow method (i think you can find code in matlab community) check matlab documentation for examples, and below Theme Copy % example load fisheriris This example shows how to identify clusters by using evalclusters. How useful was this information? See full list on cnblogs. wayx sigt vugmw ipbi ownaerg asoli yrnypbq rqyog xkijm lpt