Commons unsupervised applications include

Related MCQs

• Commons unsupervised applications include
• Supervised learning and unsupervised clustering both require which is correct according to the statement.
• The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA? 1. PCA is an unsupervised method2. It searches for the directions that data have the largest variance3. Maximum number of principal components <= number of features4. All principal components are orthogonal to each other
• Which of the following function provides unsupervised prediction ?
• what is the function of �Unsupervised Learning�?
• Supervised learning and unsupervised clustering both require at least one
• Supervised learning differs from unsupervised clustering in that supervised learning requires
• Which of the following is a common use of unsupervised clustering?
• This unsupervised clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration.
• what is the function of ‘Unsupervised Learning’?