QuiztudyPREMIUM
Google Advanced Data Analytics Professional Certificate • STUDY MODE
TEST YOUR KNOWLEDGE: EXPLORE UNSUPERVISED LEARNING AND K-MEANS
QUESTION 1 OF 3
Fill in the blank: K-means is an unsupervised partitioning algorithm used to organize _____ data into clusters.
A
UnlabeledCorrect AnswerB
hierarchicalC
subcategorizedD
presortedExplanation:
K-means is an unsupervised partitioning algorithm used to organize unlabeled data into clusters. It does this by creating a logical scheme to make sense of the data.
QUESTION 2 OF 3
In k-means, what term describes the point at which each cluster is defined?
A
CommonalityB
CoreCorrect AnswerC
CentroidD
CoordinateExplanation:
In k-means, the centroid is the point at which each cluster is defined. Its position represents the center of the cluster, also known as the mathematical mean.
QUESTION 3 OF 3
A data professional is repeating certain tasks that will enable them to create a k-means model. They continue doing this until the algorithm converges. Which step of the model-building process does this scenario represent?
A
Step threeB
Step twoC
Step fourCorrect AnswerD
Step oneExplanation:
Step four involves repeating steps two and three until the algorithm converges.
Ready to test your recall?
Fill in the blank: K-means is an unsupervised partitioning algorithm used to organize _____ data into clusters.
A
Unlabeled
B
hierarchical
C
subcategorized
D
presorted
How confident are you in this answer?