baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Implicit learning/Unsupervised learning/Clustering
Clustering is a machine learning technique used to group a set of data points into clusters based on their similarity. It is an unsupervised learning method, meaning that the data does not have predefined labels. The goal of clustering is to organize data so that items within the same cluster are more similar to each other than to those in other clusters. Common algorithms include k-means, hierarchical clustering, and DBSCAN.
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