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What is Types of Data in Cluster Analysis about?

This report provides an overview of the types of data used in cluster analysis, including numerical, categorical, ordinal, binary, and mixed data. It emphasizes the importance of data preprocessing, appropriate distance measures, and suitable clustering algorithms for effective analysis. Understanding these aspects is crucial for students to successfully apply cluster analysis in their research and professional work.

Author

manishbej2017

Language

EN