Classification analysis is the categorization of data into groups based on similarities found in a data label that was previously defined. Classification analysis might sound closely related to clustering-and these two types of analysis do have similarities. While they are both methods of categorization, they differ in the type of Machine Learning (ML) they use. Clustering uses
A) unsupervised ML to analyze unlabeled data inputs.
B) supervised ML to analyze labeled data inputs.
C) unsupervised ML to analyze labeled data inputs.
D) supervised ML to analyze unlabeled data inputs.

Question

Quizplus · Accepted Answer

Clustering uses unsupervised machine learning to analyze unlabeled data inputs, grouping them based on similarities without prior knowledge of the data labels.

Classification Analysis Is the Categorization of Data into Groups Based