Unsupervised Learning Techniques

_______ is an unsupervised learning type

• Association

• Clustering

• Both of these

• None of these

Agglomerative hierarchical clustering is also known as

• Top down approach

• Bottom up approach

• Both of these

• None of these

Types of clustering include

• Hierarchical clustering

• k-NN

• Both of these

• None of these

______ is not a model in clustering

• Agglomerative HC

• Divisive HC

• k-Means

• Random Forest

Optimum number of clusters in k-Means is found out using

• Dendrogram

• Elbow Method

• Random State

• None of these

Optimum number of clusters in agglomerative HC is found out using

• Dendrogram

• Elbow Method

• Random State

• None of these

In unsupervised learning, the dataset will be

• Labelled

• Semi-labelled

• None of these

• Non-labelled

In unsupervised learning, the machine learns by

• Identifying patterns in the dataset

• Using class labels

• None of these

• Both of these

Hierarchical clustering is classified into

• 3

• 4

• 2

• None of these

The most accurate clustering model is

• Agglomerative HC

• Divisive HC

• k-Means

• Depends on dataset