Unsupervised Learning

Document Type

Book Chapter

Publication Title

Indian Statistical Institute Series

Abstract

Unsupervised learning is a class of algorithms; where a machine looks for patterns in a dataset with no labels (or target variables to predict). This is in distinction to supervised learning procedures, such as classification or regression, where a model is given training data of inputs and target variables; and learns to map from the inputs to the target. In unsupervised learning, only the inputs are available, and an algorithm looks for interesting patterns in the data. Unsupervised learning is aka., knowledge discovery.

First Page

305

Last Page

318

DOI

10.1007/978-981-19-2008-0_21

Publication Date

1-1-2023

This document is currently not available here.

Share

COinS