[amp_mcq option1=”pca” option2=”k-means” option3=”Both A and B” option4=”None of these” correct=”option1″]<\/p>\n
The correct answer is: A. PCA<\/strong><\/p>\n PCA is a deterministic algorithm because it always produces the same output for the same input. This is because PCA is a linear transformation, and linear transformations are always deterministic.<\/p>\n K-means is not a deterministic algorithm because it can produce different outputs for the same input, depending on the initial cluster centers. This is because k-means is an iterative algorithm, and the initial cluster centers can affect the final clustering results.<\/p>\n Both A and B is not the correct answer because PCA is a deterministic algorithm, but k-means is not.<\/p>\n None of these is not the correct answer because PCA is an example of a deterministic algorithm.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”pca” option2=”k-means” option3=”Both A and B” option4=”None of these” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-50465","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n