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What is Types of Data in Cluster Analysis about?
The document discusses various types of data used in cluster analysis, including interval-valued, binary, categorical, ordinal, and ratio-scaled variables. It outlines methods for measuring clustering quality, such as similarity and dissimilarity metrics, and introduces different clustering techniques like partitioning, hierarchical, density-based, grid-based, and model-based methods. Additionally, it explains the concept of dendrograms for hierarchical clustering and the COBWEB clustering method for classi
- Author
- Sandeeptha Jerripothula
- Language
- EN