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, which mixes components of supervised and unsupervised techniques. This method makes use of a small amount of labeled data and a bigger level of unlabeled data, thereby improving learning accuracy while minimizing the need for labeled data, which may be time and labor intense to acquire.Environmental affect. The data facilities and community infra