Supervised learning differs from unsupervised clustering in that supervised learning requires

Related MCQs

• Supervised learning and unsupervised clustering both require which is correct according to the statement.
• Supervised learning and unsupervised clustering both require at least one
• 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 true about K-Mean Clustering? 1. K-means is extremely sensitive to cluster center initializations 2. Bad initialization can lead to Poor convergence speed 3. Bad initialization can lead to bad overall clustering
• Hierarchical clustering is slower than non-hierarchical clustering?
• what is the function of �Unsupervised Learning�?
• what is the function of ‘Unsupervised Learning’?
• True or False: Ensemble learning can only be applied to supervised learning methods.
• 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