Análisis de las características de los tipos de algoritmos de clustering en el aprendizaje no supervisado.

In recent years, technological advances have led to the generation of large volumes of data, and one of the problems is the time to classify and extract data, so unsupervised learning plays a fundamental role in the process using the types of clustring algorithms. Therefore, the present case study i...

• Glavni avtor: Choez Franco, Ángel Steven (author)
• Format: bachelorThesis
• Izdano: 2022
• Teme: Clustering; Análisis; Patrones de datos
• Online dostop: http://dspace.utb.edu.ec/handle/49000/11594