Which of the following is a clustering algorithm?

What is the purpose of a clustering model?

Which of the following scenarios can be resolved by applying clustering modules/algorithms?

Select all that apply.

When evaluating a clustering model, what metrics can you visualize in the Evaluate results section?

Select all that apply.

You are building an Azure Machine learning pipeline that involves a clustering module. You need to prepare the data and change some of the numeric values from the dataset to use a common scale, without distorting differences in the ranges of values or losing information.

Which module should you apply?

True or False?

Clustering is an example of supervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics or features.

A Hospital Care chain wants to open a series of Emergency-Care wards within a region. The chain knows the location of all the maximum accident-prone areas in the region. They have to decide the number of the Emergency Units to be opened and the location of these Emergency Units, so that all the accident-prone areas are covered in the vicinity of these Emergency Units.

Which type of machine learning model is best to be applied in this scenario?