Machine Learning

K-Means Clustering Intuition

K-Means Random Initialization Trap

K-Means Selecting The Number Of Clusters

K-Means Clustering in Python

• Importing the libraries

• Importing the dataset

• Using the elbow method to find the optimal number of clusters

Fitting K-Means to the dataset

Visualising the clusters

K-Means Clustering in R

• Importing the dataset

• Using the elbow method to find the optimal number of clusters

Fitting K-Means to the dataset

Visualising the clusters

Hierarchical Clustering Intuition

Hierarchical Clustering How Dendrograms Work

Hierarchical Clustering Using Dendrograms

Hierarchical Clustering in Python

• Importing the libraries

• Importing the dataset

• Using the dendrogram to find the optimal number of clusters

Fitting Hierarchical Clustering to the dataset

Visualising the clusters

Hierarchical Clustering in R

• Importing the dataset

• Using the dendrogram to find the optimal number of clusters

Fitting Hierarchical Clustering to the dataset

Visualising the clusters