Hierarchical Clustering is one of the three main algorithms for clustering along with K-Means and Density Based Clustering.

Here you will find the answers of “Hierarchical Clustering is one of the three main algorithms for clustering along with K-Means and Density Based Clustering.“. This question is a part ” Machine Learning With R

Question: Hierarchical Clustering is one of the three main algorithms for clustering along with K-Means and Density Based Clustering.

  1. True
  2. False

Correct Answer: 1

About ” Machine Learning With R

This Machine Learning with R course dives into the basics of machine learning using an approachable, and well-known, programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!

Conclusion:

We hope you know the correct answers to “Hierarchical Clustering is one of the three main algorithms for clustering along with K-Means and Density Based Clustering.” If Why Quiz helped you to find out the correct answer then make sure to bookmark our site for more Course Quiz Answers.

If the options are not the same then make sure to let us know by leaving it in the comments below.

Related Questions >>

Feature Selection is the process of selecting the variables that will be projected from a high-order dimension to a lower one.

Which is NOT a specific outcome of how Dimensionality Performance improves production?

Which of the following are types of supervised learning?

Machine Learning uses algorithms that can learn from data without relying on standard programming practices.

Which of the following is false about Linear Regression?

Leave a Reply

Your email address will not be published. Required fields are marked *