DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #76
Which of the following true with regards to the K-Means clustering algorithm?
The correct answer is A. Labels are not pre-assigned to each objects in the cluster. D. It discovers the center of each cluster. E. It find each objects fall in which particular cluster. Clustering does not require any predefined labels on the object, rather it consider the attributes on the object. Hence, option-B is out. Clustering is different than classification technique. Hence you can discard the option-C as well. It does not use the pre-defined labels…
Question
Which of the following true with regards to the K-Means clustering algorithm?
Options
- ALabels are not pre-assigned to each objects in the cluster.
- BLabels are pre-assigned to each objects in the cluster.
- CIt classify the data based on the labels.
- DIt discovers the center of each cluster.
- EIt find each objects fall in which particular cluster
How the community answered
(14 responses)- A79% (11)
- B14% (2)
- C7% (1)
Explanation
Clustering does not require any predefined labels on the object, rather it consider the attributes on the object. Hence, option-B is out. Clustering is different than classification technique. Hence you can discard the option-C as well. It does not use the pre-defined labels, hence it is called unsupervised learning and option-Ais correct. Main purpose of the Clustering technique is to determine the center of each Cluster and then find the distance from that center. If object is near the center than it would fall in that particular cluster. Hence, finally you will have group or clusters created and get to know that objects fall in which particular cluster.
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