You are working in a data analytics company as a data scientist, you have been given a set of various types of Pizzas available across various premium food centers in a country. This data is given…

The correct answer is C. K-means Clustering. Using K means clustering you can create group of objects based on their properties. Where K is number of the groups. In this case, in each group you determine the center of the group and then find the how far each object characteristics from the center. If it is near the center…

Machine Learning Algorithms

Question

You are working in a data analytics company as a data scientist, you have been given a set of various types of Pizzas available across various premium food centers in a country. This data is given as numeric values like Calorie. Size, and Sale per day etc. You need to group all the pizzas with the similar properties, which of the following technique you would be using for that?

Options

AAssociation Rules
BNaive Bayes Classifier
CK-means Clustering
DLinear Regression
EGrouping

How the community answered

(22 responses)

B
5% (1)
C
82% (18)
D
5% (1)
E
9% (2)

Explanation

Using K means clustering you can create group of objects based on their properties. Where K is number of the groups. In this case, in each group you determine the center of the group and then find the how far each object characteristics from the center. If it is near the center than it can be part of the group. Suppose we have 100 objects and we need to determine 4 groups. Hence, here K=4. Now we determine 4 center values and based on that center value we determine the distance of each object from the center.

Topics

#K-means clustering#unsupervised learning#algorithm selection#clustering

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