Hierarchical Clustering | Machine Learning Tutorial | Tutorialspoint

In this tutorial of 'Machine Learning', you will learn about Hierarchical Clustering Algorithms.
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Timestamps
0:39 What is Clustering?
1:38 What is Hierarchical Clustering?
2:06 Types of Hierarchical Clustering
2:49 What is Agglomerative Clustering?
3:41 What is Divisive Clustering?
6:09 How to decide the group of Clusters?
6:35 Applications of Hierarchical Clustering

Hierarchical Cluster analysis or HCA, is a method of cluster analysis that allow to build tree like structure from data similarities. In this series, you will learn all types of Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, KNN, Decision Tree, Linear Regression, Support Vector Machine, Random Forest, Naive Bayes, Logistic regression, K means clustering, Hierarchical clustering, Anomaly detection, Q learning, Deep Q Networks, and more.

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