Unsupervised learning works on unlabelled data: the model discovers structures, groups or anomalies on its own. Customer segmentation, unusual-behaviour detection and clustering of similar documents are typical applications.
In practice at Gensai
Gensai uses it indirectly: the semantic grouping of documents in its search engines is a direct descendant.
Same theme
Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.
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