“Theorists have long postulated for decades that the brain might be using unsupervised learning,” first author and research scientist at HHMI, Lin Zhong, told IFLScience. “Humans definitely employ ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Heterogeneous Graph Based Similarity Measure for Categorical Data Unsupervised Learning Abstract: Different from numerical attributes, measuring the similarity between categorical attributes is more ...

The Self-Organizing Feature Map (SOM) is an unsupervised learning neural network model widely used in fields such as data clustering, dimensionality reduction, and data visualization.

Unsupervised graph-structure learning (GSL) which aims to learn an effective graph structure applied to arbitrary downstream tasks by data itself without any labels’ guidance, has recently received ...

Virtual assistants using unsupervised learning can group semantically similar user speech to intuit the intent of the speaker and its relevance.

Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.