All of the following are examples of an unsupervised approach to evaluation data except:
A) Similarity matching
B) Clustering
C) Profiling
D) Co-occurrence grouping

Question

Quizplus · Accepted Answer

Similarity matching is not an example of an unsupervised approach to evaluating data; it often involves comparing new data points to existing data points or clusters, which can be part of supervised learning, especially when labels or outcomes are known and used in the comparison. The other options, clustering, profiling, and co-occurrence grouping, are classic examples of unsupervised learning, where the algorithm tries to find patterns or groupings in the data without any pre-existing labels or outcomes.

All of the Following Are Examples of an Unsupervised Approach