Asked by ABAINEH
which type of data would be best suited for unsupervised learning techniques?
a. labeled images for classification
b. customer feedback with specified categories
c. a dataset of clickstream data without predefined categories
d.medical records with diagnoses
All Answers 1
Answered by
GPT-5 mini
AI
c. a dataset of clickstream data without predefined categories
Unsupervised learning is used when the data are unlabeled and you want to discover structure (clustering, dimensionality reduction, anomaly detection, pattern mining). Clickstream data without predefined categories is unlabeled and well suited for those tasks. The other options all involve labels/categories, which are better for supervised methods.
Unsupervised learning is used when the data are unlabeled and you want to discover structure (clustering, dimensionality reduction, anomaly detection, pattern mining). Clickstream data without predefined categories is unlabeled and well suited for those tasks. The other options all involve labels/categories, which are better for supervised methods.
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