{"id":48046,"date":"2024-04-15T22:35:37","date_gmt":"2024-04-15T22:35:37","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=48046"},"modified":"2024-04-15T22:35:37","modified_gmt":"2024-04-15T22:35:37","slug":"hierarchical-agglomerative-clustering-is-typically-visualized-as","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/hierarchical-agglomerative-clustering-is-typically-visualized-as\/","title":{"rendered":"Hierarchical agglomerative clustering is typically visualized as?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;dendrogram&#8221; option2=&#8221;binary trees&#8221; option3=&#8221;block diagram&#8221; option4=&#8221;graph&#8221; correct=&#8221;option1&#8243;]<!--more--><\/p>\n<p>Hierarchical agglomerative clustering is typically visualized as a dendrogram. A dendrogram is a tree-like diagram that shows the hierarchy of clusters. The clusters are represented by nodes on the dendrogram, and the links between the nodes represent the similarity between the clusters. The higher up a node is on the dendrogram, the more similar the clusters it represents.<\/p>\n<p>A binary tree is a tree-like data structure in which each node has at most two children. Binary trees are often used to represent hierarchical data, such as the file system on a computer.<\/p>\n<p>A block diagram is a diagram that shows the functional relationships between the components of a system. Block diagrams are often used in engineering and computer science.<\/p>\n<p>A graph is a mathematical structure that consists of a set of vertices and a set of edges. The vertices represent the objects in the graph, and the edges represent the relationships between the objects. Graphs are often used to model real-world systems, such as social networks and transportation networks.<\/p>\n<p>In conclusion, the correct answer to the question &#8220;Hierarchical agglomerative clustering is typically visualized as?&#8221; is A. dendrogram.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;dendrogram&#8221; option2=&#8221;binary trees&#8221; option3=&#8221;block diagram&#8221; option4=&#8221;graph&#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":[729],"tags":[],"class_list":["post-48046","post","type-post","status-publish","format-standard","hentry","category-machine-learning","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>Hierarchical agglomerative clustering is typically visualized as?<\/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\/hierarchical-agglomerative-clustering-is-typically-visualized-as\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hierarchical agglomerative clustering is typically visualized as?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;dendrogram&#8221; 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