{"id":8011,"date":"2020-12-29T00:26:22","date_gmt":"2020-12-29T00:26:22","guid":{"rendered":"https:\/\/healinglifespan.com\/data-science\/2020\/12\/29\/how-the-hierarchical-clustering-algorithm-works\/"},"modified":"2020-12-29T00:26:22","modified_gmt":"2020-12-29T00:26:22","slug":"how-the-hierarchical-clustering-algorithm-works","status":"publish","type":"post","link":"https:\/\/wealthrevelation.com\/data-science\/2020\/12\/29\/how-the-hierarchical-clustering-algorithm-works\/","title":{"rendered":"How the Hierarchical Clustering Algorithm Works"},"content":{"rendered":"
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\"Hierarchical\"Hierarchical<\/span><\/div>\n
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\u00a0 Hierarchical Clustering is an unsupervised Learning Algorithm<\/strong><\/a>, and this is one of the most popular clustering technique in Machine Learning.\u00a0<\/p>\n

Expectations of getting insights from machine learning algorithms is increasing abruptly. Initially, we were limited to predict the future by feeding historical data.\u00a0<\/p>\n

This is easy when the expected results and the features<\/strong> in the historical data are available to build the supervised learning models, which can predict the future.<\/p>\n

For example predicting the email is spam or not<\/strong><\/a>, using the historical email data.<\/p>\n<\/div>\n

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Learn hierarchical clustering algorithm in detail also, learn about agglomeration and divisive way of hierarchical clustering. #clustering #hierarchicalclustering<\/p>\n<\/p><\/div>\n

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But the real world problems are not limited to supervised type, and we do get the unsupervised problems too.<\/p>\n

How to build the models for such problems?<\/strong>\u00a0<\/p><\/blockquote>\n

Where comes the unsupervised learning algorithms. <\/p>\n

In this article, we are going to learn one such popular unsupervised learning \u00a0algorithm which is hierarchical clustering algorithm.<\/p>\n

Before we start learning, Let\u2019s look at the topics you will learn in this article. Only if you read the complete article \ud83d\ude42<\/p>\n<\/div>\n

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Before we understand what hierarchical clustering is, its benefits, and how it works. Let us learn the unsupervised learning algorithm topic.<\/p>\n

What is Unsupervised Learning<\/h2>\n<\/div>\n
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Unsupervised learning is training a machine using information that is neither classified nor labeled<\/strong> and allows the machine to act on that information without<\/strong> guidance.\u00a0<\/p>\n

In Unsupervised Learning, a machine\u2019s task is to group unsorted information according to similarities, patterns<\/strong><\/a>, and differences without any prior data training. It is defined as<\/p>\n

\u00a0 \u00a0 \u201cUnsupervised Learning Algorithm is a machine learning technique, where you don\u2019t have to supervise the model. Rather, you need to allow the model to work on its own to discover information, and It mainly deals with unlabelled data.\u201d<\/p><\/blockquote>\n

If you want to know more, we would suggest you to read the unsupervised learning algorithms<\/strong><\/a> article.<\/p>\n

Types of Unsupervised Learning Algorithm<\/h3>\n

Unsupervised Learning algorithms are classified into two categories.<\/p>\n