?
Categories
Account

Which of the following is NOT a common application of SVM?

  • 📥 Instant PDF Download
  • ♾ Lifetime Access
  • 🛡 Secure & Original Content

What’s inside this PDF?

Question: Which of the following is NOT a common application of SVM?

Options:

  1. Image classification
  2. Text categorization
  3. Stock price prediction
  4. Clustering of data

Correct Answer: Clustering of data

Solution:

SVM is primarily used for classification tasks, while clustering is typically handled by different algorithms.

Which of the following is NOT a common application of SVM?

Practice Questions

Q1
Which of the following is NOT a common application of SVM?
  1. Image classification
  2. Text categorization
  3. Stock price prediction
  4. Clustering of data

Questions & Step-by-Step Solutions

Which of the following is NOT a common application of SVM?
  • Step 1: Understand what SVM stands for. SVM means Support Vector Machine.
  • Step 2: Know that SVM is mainly used for classification tasks. This means it helps to categorize data into different groups.
  • Step 3: Learn that clustering is a different task. Clustering means grouping similar data points together without predefined categories.
  • Step 4: Identify that since clustering is not a classification task, it is not a common application of SVM.
  • Step 5: Conclude that the question is asking for something that SVM does not typically do, which is clustering.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely
Home Practice Performance eBooks