Write a program using K-Means and Expectation Maximization clustering for the given dataset. Use R language to write the code, without which the answer will be wrong. Package Name: cluster.datasets install.packages("cluster.datasets") library(cluster.datasets) data(paste your data set name) your dataset name data(mammal.dentition) K-Means Clustering Find optimal number of clusters using Elbow Method and then Apply K-Means clustering. Finally do visualization for K-Means Clustering Expectation Maximization Clustering Q1: Apply Expectation Maximization Q2: Visualization for Expectation Maximization

https://www.rdocumentation.org/packages/cluster.datasets/versions/1.0-1/topics/mammal.dentition

I have done the K-means part, so do the second one using R programming