Transmission rates and the popularity of wireless communication devices, especially with the introduction of 5G technology, are experiencing exponential growth. This creates problems with limited spectrum resources and growing communication needs. In this context, unsupervised learning is applied to resource allocation to better meet the actual needs and to uncover the hidden resource utilization patterns and rules. Especially in optimizing continuous power control, unsupervised learning methods are more efficient.