unsupervised
- adjective
- /ˌʌnˈsuːpərˌvaɪzd/
- Specialized
- The supervised and unsupervised machine learning techniques are used for automatic text classification.
- unsupervised classification
- unsupervised clustering
So with both unsupervised and supervised learning, in fact, with any sort of neural network, scale matters.
- So with both unsupervised and supervised learning, in fact, with any sort of neural network, scale matters.
- Now to do this, people often used something called unsupervised learning, where you don't actually teach the machine anything beforehand.
- And, and you know, this is all unsupervised and directly from the patient's data.
Examples
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The thing is make sure that unsupervised learning work.
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Now to do this, people often used something called unsupervised learning, where you don't actually teach the machine anything beforehand.
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And, and you know, this is all unsupervised and directly from the patient's data.
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In this study, sample outliers were checked using both unsupervised learning and supervised learning methods.
Academic text (2017) -
Principal component analysis (PCA), an unsupervised learning method, was performed to check the data quality.
Academic text (2017) -
Because global scatterplots only allow pairwise comparisons of individual conditions, we performed an unsupervised cluster analysis to discover distinct expression patterns across all the conditions.
Academic text (2017) -
A study on lung adenocarcinoma found that unsupervised DNA microarray analysis predicted death with a sensitivity of 38% and a specificity of 81%.
Academic text (2003) -
Clustering methods are unsupervised learning tasks with the purpose of identifying structures in an unlabeled dataset by organizing it into homogeneous groups or clusters.
Academic text (2017) -
Unsupervised learning algorithms can automatically identify patterns in unsupervised data without any prior labeling.
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In machine learning, unsupervised models analyze unlabeled data to find hidden structures and groups.
Synonyms
A computer system that learns by itself without people telling it the correct answers
How Labeled
Surface Forms
Morphology
unsupervised = supervised (transparent) = un + supervise + ed
The technical ML sense is formed by standard negation of 'supervised' (i.e., 'without supervision/labels'), so the morphological relation is transparent.
Etymology
The word unsupervised is made of un- 'not' and super- 'over' with the idea of 'see', so it keeps the idea of 'not watched'. In machine learning, a helpful way to remember this sense is to think of a computer left alone to find groups or patterns without human labels, so it learns by itself.