Groups

In Data Science, groups refer to a collection of data points that share similar characteristics or attributes. These groups can be identified through various clustering algorithms that aim to group together data points that are similar in terms of their features. Grouping data points into clusters can help in identifying patterns and relationships within the data, which can be useful in making predictions or identifying anomalies. Grouping can also be used for segmentation, where data points are divided into distinct groups based on their characteristics, such as demographics or behavior. This can be useful in targeted marketing or personalized recommendations. In Artificial Intelligence, grouping can be used in unsupervised learning, where the algorithm is tasked with finding patterns and relationships within the data without any prior knowledge or labels.
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