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The correct answer is True<\/strong>.<\/p>\n Hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types:<\/p>\n Hierarchical clustering is often used for exploratory data analysis, as it can provide a useful way to visualize the relationships between data points. However, it is important to note that hierarchical clustering does not provide a unique solution: different algorithms can produce different hierarchies, and the choice of which algorithm to use can have a significant impact on the results.<\/p>\n In addition, hierarchical clustering is not always robust to noise in the data. If there are outliers or other errors in the data, they can have a disproportionate impact on the results of the clustering.<\/p>\n Overall, hierarchical clustering is a powerful tool for exploratory data analysis, but it is important to be aware of its limitations.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”TRUE” option2=”nan” option3=”nan” option4=”nan” 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":[738],"tags":[],"class_list":["post-56028","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"yoast_head":"\n\n