The contingency matrix is a simple and powerful metric using which we can measure the clustering performance in machine learning. A contingency matrix is an nxn matrix, where n is the number of clusters. A number ith row and jth column indicates the number of clusters...

What is the V-measure in clustering? The V-measure is a metric that can measure the clustering performance in machine learning. In our previous articles, we discussed what completeness score (What is completeness score?) and homogeneity score (What is homogeneity...

What is the homogeneity score in machine learning? The homogeneity score is a metric using which we can measure clustering performance in machine learning. A clustering result is said to be homogeneous if it contains data points that are members of a single class. A...

What is the completeness score in clustering? The completeness score of clustering indicates whether all the data points that are members of a given class belong to the same cluster. It is a floating point number between 0 and 1. A completeness score of 1 indicates...

What is the silhouette score? The silhouette coefficient of a sample is calculated as follows: $latex \frac{b-a}{max(a,b)} $ Here, a is the distance between the sample and the centroid of the cluster to which the sample belongs. And b is the distance between the...