Feature Engineering in Clustering
Mujtaba shares insights on feature engineering in clustering, emphasizing the role of normalization and hypothesis generation for fraud cases. The discussion highlights the importance of creating new data sets to enhance clustering outcomes, particularly in specific use cases like fraud detection.In this clip
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