Cluster validation
What is cluster validation? A process of estimating the goodness of cluster formed. That is, to ensure how accurate the obtained results of clustering. To understand the cluster validation, consider the below figure 1 example confusion matrix obtained by the process of classification (unsupervised learning) or clustering (supervised learning). Figure 1: Example of the confusion matrix. Where, The expected result of cluster 1: C E 1 . The expected result of cluster 2: C E 2 . The expected result of cluster 3: C E 3 . The expected result of cluster 4: C E 4 . Obtained result of cluster 1: C O 1 . Obtained result of cluster 2: C O 2 . Obtained result of cluster 3: C O 3 . Obtained result of cluster 4: C O 4 . Row: Indicates how many samples belong to a particular cluster? Column: Indicates how many samples are placed in the cluster from which cluster? Example: Arrangement of library books. Calculating recall (recall ability) concerning: Cluster C ...
