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"unsupervised clustering" is a correct and usable phrase in written English.
It is used to describe a method of data analysis in which data is sorted into groups without prior knowledge of the groupings, and is often used in the fields of Machine Learning and artificial intelligence. For example, "We used unsupervised clustering to group our customer data according to purchasing behavior."
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Results: Unsupervised clustering yielded several subgroups, or endotypes, of interest.
(c) Dendrogram from unsupervised clustering using RNA-seq data.
(c) Dendrogram from unsupervised clustering using ATAC-seq data.
Unsupervised clustering for 122 tumors was performed using the top 10,000 variant probes.
Principal component analysis (PCA) based unsupervised clustering revealed distinct groupings of our samples (Fig. 2a).
The following filtering steps were used to select probes for unsupervised clustering analysis.
Unsupervised clustering analysis using a Euclidean distance and the ward.D2 linkage method was performed.
Supervised and Unsupervised Clustering of the Speaker Space for Connectionist Speech Recognition.
Our framework uses unsupervised clustering to discover latent statistical structure in large datasets.
Unsupervised clustering analysis groups together genes with similar patterns of expression.
The technique is based on an unsupervised clustering of the three phase reactance step magnitudes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com