TC can identify all positive (e.g., malignant) observations at low ratios of training to testing data, e.g., 1:9 using the Breast Cancer Wisconsin (Original) dataset. Without fine-tuned parameters and random selection, the uncertainty of the methodology is eliminated when using TC. TC would be useful for reducing misjudgments (e.g., diagnostic errors) and avoiding waste of medical resources and legal disputes. On the other hand, a TC-based recommender system can achieve around 50％ hit rate of successful recommendation in the online retail dataset. The most import point is that TC do not need profile of customers, and therefore, TC is adequate for the EU’s AI regulation: fairness and privacy.