Research on binary classification problems based on clustering algorithms
Classification prediction is a basic task of machine learning,which has a wide range of applications in machine vision,text analysis and online advertising,etc.,and has a great promoting effect on the development of the industry.With the evolution of information technology and the increasing size of data,complex and high-dimensional data make traditional analytical methods difficult,such that existing deep learning models often have less than ideal prediction performance when classifying and predicting complex datasets.In the field of ad click prediction,the introduction of clustering methods,which make full use of the implicit relationships inherent in the data,helps to construct more accurate and robust classification models.
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