Reading assignement-N5

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AI681/CS695-001 Pattern Recognition & Machine Learning Fall 2023 1 | P a g e Reading Assignment N5: Machine Learning and Pattern Recognition Topic: Cross ‑ Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi ‑ Label Datasets Reda Nacif El Alaoui Due Date: Wednesday, November 29 th , at 11:59 pm (ET)

AI681/CS695-001 Pattern Recognition & Machine Learning Fall 2023 2 | P a g e Related article: Please find the attached article in the assignment instruction about the “Cross ‑ Validation Approach to Evaluate Clustering Algorithms: An Experimental Study Using Multi ‑ Label Datasets” (find the reading article attached in the assignement ) Assignment Requirements: For this assignment, you are asked to read and analyze the online articles by submitting a well- written Word document (Summary). Submission Process: The submitted Word document should be well written and organized and easy to read and follow (1-2 pages max). The document should be a summary and written in your own words. Once completed, please submit your document as a Word file. The document should be a single word document named as follows: "Your first last name_net_course_section_date_Fall2023". The assignment will be graded based on the following: - Well-structured and organized document (25%) - Well written using your own word (30%) (plagiarism check) - Included all the relevant information and summarize the article (35%) - Include additional references related papers/articles/plots, etc., to the topic (10%) Note: (Please provide a reference list (if any) in a separate section at the end of the manuscript) Important note: There will be no extension after the due date. All submissions must be through Brightspace and on time.

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