Hierarchical Clustering

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Analytics Vidhya

I will suggest that before this reading this article, please go through my other article which explains clustering in detail, because then you will have a strong base of the clustering. This approach…...

Introduction Hierarchical Clustering

Towards Data Science

Clustering tries to find structure in data by creating groupings of data with similar characteristics. The most famous clustering algorithm is likely K-means, but there are a large number of ways to…

Hierarchical Clustering and its Applications

Towards Data Science

Clustering is one of the most well known techniques in Data Science. From customer segmentation to outlier detection, it has a broad range of uses, and different techniques that fit different use…

Hierarchical Clustering — Explained

Towards Data Science

Clustering algorithms are unsupervised machine learning algorithms so there is no label associated with data points. Clustering algorithms look for similarities or dissimilarities among data points…

Introduction to hierarchical clustering (Part 3 — Spatial clustering)

Towards Data Science

In our attempt to cluster crimes in London in the previous article, we ignored the spatial dimension of the data in performing the clustering. Thus, this article seeks to remedy this by explicitly…

Comprehensive Guide on Hierarchical clustering

Skytowner Guides on Machine Learning

The objective of hierarchical clustering is to group data points into nested clusters that can be visualized using a hierarchical tree called the dendrogram - we'll discuss more about this later. Unli...

Hierarchical clustering explained

Towards Data Science

Explanation of analysis and procedures used in hierarchical clustering and dendrogram in a simplified manner

Hierarchical Clustering (Agglomerative)

Analytics Vidhya

In this article we will understand Agglomerative approach to Hierarchical Clustering, Steps of Algorithm and its mathematical approach. Till now we have seen about Clustering, Hierarchical…

Mastering Hierarchical Clustering: Unraveling Data Patterns with Dendrograms

Level Up Coding

This article will explore hierarchical clustering in detail, including its advantages, applications, and why it remains an indispensable technique alongside its more popular counterparts. What is Hier...

Hierarchical Clustering: It’s just the order of clusters!

Analytics Vidhya

What is Hierarchical Clustering? Well by definition it is an unsupervised method of creating similar groups from top to bottom or bottom to top. I will be trying to explain the first type of…

Introduction to Hierarchical clustering (part 1 — theory, linkage and affinity)

Towards Data Science

Clustering is a a part of machine learning called unsupervised learning. This means, that in contrast to supervised learning, we don’t have a specific target to aim for as our outcome variable is not…...

A Study of the Hierarchical Clustering: Unsupervised Machine Learning

Analytics Vidhya

Another popular method of clustering is hierarchical clustering. I have seen in K-minus clustering that the number of clusters needs to be stated. Hierarchical clustering does not require that…