Clustering
Clustering is a technique in unsupervised machine learning that involves grouping similar data points together based on their characteristics or features. The goal of clustering is to identify patterns and relationships within the data that may not be immediately apparent. Clustering algorithms use various distance metrics to measure the similarity between data points and group them accordingly. The resulting clusters can then be analyzed to gain insights into the underlying structure of the data. Clustering is commonly used in data mining, image processing, and natural language processing applications.
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