Cluster

In data science, a cluster refers to a group of data points that share similar characteristics or features. Clustering is a technique used in unsupervised machine learning to group similar data points together based on their similarities and differences. The goal of clustering is to identify patterns and structures in the data that may not be immediately apparent. Clustering algorithms can be used for a variety of applications, such as customer segmentation, anomaly detection, and image recognition. There are several types of clustering algorithms, including hierarchical clustering, k-means clustering, and density-based clustering.
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