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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:
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Clustering
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Association
Types Of Unsupervised Learning
Types of Unsupervised Learning:-
Clustering
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Exclusive (partitioning)
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Agglomerative
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Overlapping
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Probabilistic
Clustering Types:-
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Hierarchical clustering
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K-means clustering
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Principal Component Analysis
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Singular Value Decomposition
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Independent Component Analysis
Supervised vs. Unsupervised
Supervised Learning

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

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