Write a program using K-Means and Expectation Maximization
clustering for the given dataset. Use R language to write the
code.
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 do the second one
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