Part 41 How to Choose the Number of Clusters

Statistics,
Data Science,
Python,
machine learning,
Benefits of Data Science,
Linear regression,
Multiple Linear Regression,
Logistic Regression,
Cluster Analysis,
K-Means Clustering,
Other Types of Clustering
Popular Data Science Tools,
Careers in Data Science,
Descriptive Statistics,
OLS,
R-Squared,
Test for Significance of the Model (F-Test),
Linearity,
No Endogeneity,
Normality and Homoscedasticity,
Multicollinearity,

[sachinhota]

A very clear explanation of Elbow method used to identify k in k-means clustering.
Thanks a lot !!!

[thangtran]

Absolutely wonderful explanation! Really helpful guys! Please keep it up!

[vitorribeirosa]

Thanks for your explanation.
You clarified my doubts.

[xiaoqizheng]

thanks a lot! very clear and interesting explanation!

[slartidan]

Can we use an equation to find the "ellbow", or is it necessary a human decision? Maybe the "derivation" can help?

[luciferjohn]

Nice explanation.
Just one thing Could you please explain what is (x)

Are these the data points?

[Rahul-qegc]

What about Silhouette score and Visualization?