Cluster Analysis
Cluster Analysis is an unsupervised machine learning technique used to explore the structure of a given dataset. It is used in the fields of data mining, pattern recognition, and market research to identify hidden patterns and groups in the data. The output of the method is a set of clusters that can be used to better understand the data. Cluster Analysis is a useful tool for data exploration, visualization, and feature engineering, among other tasks. It is also used to reduce the number of features needed to represent the data, thus allowing for more efficient processing. Moreover, it can help uncover relationships between variables that would otherwise remain hidden.
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