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Clustering Analysis for Digital Ads Data by Janhavi Gupta is a document available to read on EtoBox.

What is Clustering Analysis for Digital Ads Data about?

The document discusses clustering digital advertising data to segment ads into homogeneous groups. It describes preprocessing the data by treating missing values, identifying and handling outliers, and scaling the data. Various clustering algorithms are applied including hierarchical clustering to identify optimal k for k-means clustering, and k-means is used to cluster the ads and profile them by cluster.

Author

Janhavi Gupta

Language

EN