Hierarchical Clustering Free Course

Hierarchical Clustering

star 4.52  Intermediate level 1.5 learning hrs 2.2K+ Learners

Instructor:

Mr. Anirudh Rao

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About this course

Clustering is a very important part of machine learning that governs many applications that we have today. It is a concept that is widely used especially when we require the use of unsupervised learning techniques. Hierarchical clustering talks about how we could go on to pick up multiple data points and combine or separate them into individual clusters containing similar characteristics. Since it is very important for all you machine learning enthusiasts to understand this in detail, we here at Great Learning have come up with this course to help you get started with hierarchical clustering and to understand it completely.

 

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Course outline

Introduction to Hierarchical Clustering

Types of Hierarchical Clustering

Agglomerative Hierarchical Clustering

Euclidean and Manhattan Distance

Minkowski Distance and Jaccard Index

Cosine Similarity

Optimal Number of Clusters

Hierarchical Clustering Summary

Get access to the complete curriculum once you enroll in the course

Hierarchical Clustering

rating icon 4.52

1.5 Hours

Intermediate

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2.2K+ learners enrolled so far

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Get free course content

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Learner reviews of the Free Courses

4.52
69%
22%
8%
0%
1%
Reviewer Profile

5.0

Country Flag India
“Hierarchical Clustering Machine Learning Course”
A very informative and nicely classified Hierarchical Clustering Machine Learning Course.
Reviewer Profile

5.0

Country Flag Indonesia
“Comprehensive Insights on Hierarchical Clustering”
The module on hierarchical clustering was extremely insightful and easy to follow. The detailed explanations of agglomerative and divisive approaches, along with practical examples, made it engaging and informative. The use of dendrograms to visualize the clustering process added great clarity. I particularly enjoyed how the instructor explained the concepts step-by-step, making even complex topics manageable.
Reviewer Profile

5.0

Country Flag Indonesia
“Insightful and Practical Learning Experience”
The curriculum was well-structured, and the instructor explained the concepts of hierarchical clustering in a simple yet comprehensive manner. The quizzes reinforced the learning effectively.
Reviewer Profile

4.0

Country Flag India
“Hierarchical Clustering: Data Science Essentials”
t begins by explaining the concepts behind clustering and the different types of hierarchical clustering—agglomerative and divisive. The course walks learners through practical steps, such as calculating distances such as Euclidean distance ,Manhattan distance, Minkowski Distance and Jaccard distance
Reviewer Profile

5.0

Country Flag Nigeria
“Highlight of Your Learning Experience”
I loved how the course combined videos, quizzes, and hands-on activities to keep things interesting and cater to different learning styles. It was a comprehensive experience that not only increased my knowledge but also built my confidence in applying these skills.
Reviewer Profile

5.0

Country Flag Indonesia
“Clustering is an unsupervised learning technique that groups data based on similarities”
Clustering is an unsupervised learning technique that groups data based on similarities, often measured using metrics like Euclidean or Manhattan distances. Hierarchical clustering forms tree-like structures, with divisive being top-down and agglomerative bottom-up. The Silhouette Score is a popular method to determine the optimal number of clusters, ensuring well-defined groupings.
Reviewer Profile

5.0

“Very valuable course which is offered by great learning”
This course provides a solid foundation in clustering techniques, covering essential concepts like hierarchical clustering, distance measures, and evaluating optimal clusters using methods like the Silhouette Score. The material is clear and concise, making complex topics easier to understand. However, adding more practical examples could enhance hands-on learning.
Reviewer Profile

5.0

Country Flag Indonesia
“Understanding hierarchical clustering's tree-like structure and learning how to apply divisive and agglomerative methods were key highlights for me.”
I enjoyed the clear explanations of clustering concepts and the practical examples that demonstrated how hierarchical clustering works in real-world scenarios.
Reviewer Profile

5.0

Country Flag Philippines
“Engaging in real-world projects and applying theoretical concepts.”
I thoroughly enjoyed the practical, hands-on learning aspect, especially the opportunity to work on real-world challenges. It allowed me to apply theoretical knowledge in meaningful ways. Additionally, the collaborative environment fostered deeper discussions, enabling me to gain diverse perspectives and learn from others' experiences. These experiences not only sharpened my skills but also enhanced my problem-solving abilities.
Reviewer Profile

5.0

Country Flag United States
“The Course is Very Good, I Like it Very Much”
The course is very good, I like it very much. The course is very good, I like it very much.

What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Machine Learning Expert

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779.2K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is hierarchical clustering and how does it work?

Definition- Hierarchical clustering is also known as HCA or hierarchical cluster analysis. Hierarchical clustering is associated with data mining and statistics, which means that it is an algorithm that groups all the similar types of objects, and then it groups these objects, and is called clusters. Hierarchical cluster analysis is a method of cluster analysis in which a hierarchy of clusters is being built up. The best part of hierarchical clustering is the endpoint, as the endpoint is the set of clusters in which each cluster is different and distinct from each other, but the objects present inside these clusters are similar and same to each other.

 

Working of hierarchical clustering- 

The best part of hierarchical clustering is the way it works. Hierarchical clustering first starts working by taking each observation as a distinct and separate cluster. After this step, it repeats the following steps:

 

Step 1- It identifies two clusters that are nearest and closest to each other.

Step 2- It operates by merging two similar kinds of clusters.

 

This process keeps on going until all the clusters are merged together.

 

What is hierarchical clustering used for?

The hierarchical clustering method is mainly used for analyzing the social network of the data. In this method, clusters are compared with each other based on similarity.

How do you interpret hierarchical clustering?

The main point of interpretation of hierarchical clustering is to analyze the clusters and then join them together.

 

Will I get a certificate after completing this Hierarchical Clustering free course?

Yes, you will get a certificate of completion for Hierarchical Clustering after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Hierarchical Clustering course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Hierarchical Clustering can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Hierarchical Clustering course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Hierarchical Clustering course?

Great Learning Academy provides this Hierarchical Clustering course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Hierarchical Clustering course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Hierarchical Clustering course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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