How do you classify data using exclusive methods of classification?

Exclusive methods of classification involve categorizing data into distinct, non-overlapping classes where each data point belongs to only one class. Common approaches include decision trees, where data is split based on feature values, and naive Bayes classifiers, which use probabilities to assign classes based on feature distributions. Additionally, support vector machines classify data by finding the optimal hyperplane that separates different classes. These methods ensure that each data point is assigned to a single, unique category, enhancing interpretability and accuracy.