Practice More Questions From: Test Prep 4
Q:
Which of the following is a clustering algorithm?
Q:
What is the purpose of a clustering model?
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Which of the following scenarios can be resolved by applying clustering modules/algorithms? Select all that apply.
Q:
When evaluating a clustering model, what metrics can you visualize in the Evaluate results section? Select all that apply.
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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?
Q:
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.
Q:
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?
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