Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #73
You have data of 10.000 people who make the purchasing from a specific grocery store. You also have their income detail in the data. You have created 5 clusters using this data. But in one of the…
The correct answer is B. You will be decreasing the number of clusters. Decreasing the number of clusters will help in adjusting this outlier cluster to get adjusted in another cluster.
Design data storage solutions
Question
You have data of 10.000 people who make the purchasing from a specific grocery store. You also have their income detail in the data. You have created 5 clusters using this data. But in one of the cluster you see that only 30 people are falling as below 30, 2400, 2600, 2700, 2270 etc." What would you do in this case?
Options
- AYou will be increasing number of clusters.
- BYou will be decreasing the number of clusters.
- CYou will remove that 30 people from dataset
- DYou will be multiplying standard deviation with the 100
How the community answered
(22 responses)- A5% (1)
- B73% (16)
- C14% (3)
- D9% (2)
Explanation
Decreasing the number of clusters will help in adjusting this outlier cluster to get adjusted in another cluster.
Topics
#k-means clustering#cluster optimization#outlier handling#customer segmentation
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