Unsupervised Learning In Machine Learning

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What is Unsupervised Learning?

Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets.

Unsupervised learning classified into two categories:

Clustering
Association

Types Of Unsupervised Learning

Types of Unsupervised Learning:-

Clustering

Exclusive (partitioning)
Agglomerative
Overlapping
Probabilistic

Clustering Types:-

Hierarchical clustering
K-means clustering
Principal Component Analysis
Singular Value Decomposition
Independent Component Analysis

Supervised vs. Unsupervised

Supervised Learning

Algorithms are trained using labeled data.
Supervised learning is a simpler method.
Unsupervised learning is computationally complex

Unsupervised Learning

Algorithms are used against data which is not labelled
Unsupervised learning is computationally complex
Less accurate and trustworthy method.