Google AI Introduces a Novel Clustering Algorithm that Effectively Combines the Scalability Benefits of Embedding Models with the Quality of Cross-Attention Models

Clustering serves as a fundamental and widespread challenge in the realms of data mining and unsupervised machine learning. Its objective is to assemble similar items into distinct groups. There are two types of clustering: metric clustering and graph clustering. Metric clustering involves using a specified metric space, which establishes the distances between various data points. […]

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