This article gives a simple beginners explanation of incremental analysis, the method by which some machine learning models learn. The basics are that clustering is used to group data, and then labels are assigned by the classifier. Clustering and classifying are used consecutively to create new labels and classify data based on these labels.
This article gives a simple beginners explanation of incremental analysis, the method by which some machine learning models learn. The basics are that clustering is used to group data, and then labels are assigned by the classifier. Clustering and classifying are used consecutively to create new labels and classify data based on these labels.