Open map List

Unsupervised Learning

In Unsupervised Learning, the machine uses unlabeled data and learns on itself without any supervision. The machine tries to find a pattern in the unlabeled data and gives a response.

Introduction

Unsupervised learning can be further grouped into types:

Clustering - Clustering is the method of dividing the objects into clusters that are similar between them and are dissimilar to the objects belonging to another cluster.
Association - Association is a rule-based machine learning to discover the probability of the co-occurrence of items in a collection.

Source: https://www.simplilearn.com/tutorials/machine-learning-tutorial/supervised-and-unsupervised-learning#difference_between_supervised_and_unsupervised_learning

Outgoing relations

Unsupervised Learning is a kind of Machine Learning
Unsupervised Learning is part of Agent Based Modelling

Incoming relations

Self-organizing maps (SOMs) is a kind of Unsupervised Learning
K-means is part of Unsupervised Learning

Unsupervised Learning

Introduction﻿

Outgoing relations

Incoming relations

Introduction