Clustering analysis is a statistical method used to group similar data points into clusters based on their characteristics or features. This technique helps in identifying patterns within the data, making it easier to analyze and interpret complex datasets. In the context of embedding models, clustering analysis can assess the quality of the embeddings by evaluating how well similar items are grouped together, which is crucial for tasks like document similarity, recommendation systems, and classification.
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