Which of the following statement is TRUE?

Question

BlackTom AI · Accepted Answer

Question restatement: Which of the following statement is TRUE?

Options:
- Unsupervised algorithms require labelled data
- Clustering is used to group similar objects
- Regression works with categorical labels
- Classification can be applied in unlabelled data

Analysis of each option:
- Option 1: Unsupervised algorithms require labelled data
In reality, unsupervised learning by definition does not rely on labelled data. It tries to find structure or patterns in unlabeled data, such as clusters or associations. Therefore this statement is incorrect because it contradicts the core idea of unsupervised learning.
- Option 2: Clustering is used to group similar objects
Clustering is a quintessential unsupervised learning technique that aims to partition data into groups (clusters) such that objects within the same cluster are more similar to each other than to those in other clusters. This aligns with the standard definition of clustering, making it a true statement.
- Option 3: Regression works with categorical labels
Regression is used to predict continuous numerical values, not categorical labels. When the target is categorical, classification is typically used instead. This makes the statement inaccurate.
- Option 4: Classification can be applied in unlabelled data
Classification requires labeled instances to learn a mapping from features to discrete classes. Applying classification to entirely unlabelled data would undermine the supervision the algorithm needs. Hence this statement is false.

Summary of reasoning:
- The first option misstates unsupervised learning by implying a need for labels, which is incorrect.
- The second option accurately describes clustering and its purpose.
- The third option confuses regression with its continuous outputs and mislabels the task.
- The fourth option wrongly asserts that classification can operate without labels, which contradicts supervised learning requirements.

Overall, evaluating each statement against foundational machine learning concepts shows that the statement describing clustering as grouping similar objects is the accurate one to select.

Which of the following statement is TRUE?Single choice

Similar Questions

What kind of machine learning setting is usually used for grouping?

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Which of the following is used almost exclusively for pattern detection on unlabeled data where the system is not told what to look for specifically but to simply discover patterns in the data?

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Question 1

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