{"id":57643,"date":"2024-04-16T01:05:34","date_gmt":"2024-04-16T01:05:34","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=57643"},"modified":"2024-04-16T01:05:34","modified_gmt":"2024-04-16T01:05:34","slug":"which-of-the-following-can-also-be-used-to-find-new-variables-that-are-linear-combinations-of-the-original-set-with-independent-components","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-can-also-be-used-to-find-new-variables-that-are-linear-combinations-of-the-original-set-with-independent-components\/","title":{"rendered":"Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;ICA&#8221; option2=&#8221;SCA&#8221; option3=&#8221;PCA&#8221; option4=&#8221;None of the mentioned&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>The correct answer is: A. ICA<\/p>\n<p>ICA stands for Independent Component Analysis. It is a statistical method that can be used to find new variables that are linear combinations of the original set with independent components. ICA is often used in signal processing and machine learning applications.<\/p>\n<p>PCA stands for Principal Component Analysis. It is a statistical method that can be used to find new variables that are linear combinations of the original set with the largest possible variance. PCA is often used in data visualization and dimensionality reduction applications.<\/p>\n<p>SCA stands for Sparse Coding Analysis. It is a statistical method that can be used to find new variables that are linear combinations of the original set with the sparsest possible representation. SCA is often used in image denoising and compression applications.<\/p>\n<p>In conclusion, ICA is the only method that can be used to find new variables that are linear combinations of the original set with independent components.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;ICA&#8221; option2=&#8221;SCA&#8221; option3=&#8221;PCA&#8221; option4=&#8221;None of the mentioned&#8221; correct=&#8221;option1&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[736],"tags":[],"class_list":["post-57643","post","type-post","status-publish","format-standard","hentry","category-machine-learning-algorithms","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/which-of-the-following-can-also-be-used-to-find-new-variables-that-are-linear-combinations-of-the-original-set-with-independent-components\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;ICA&#8221; 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