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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:-


  • 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.

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