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Syllabus ECOM 6349 Selected Topics in Artificial Intelligence: Cluster Analysis Instructor: Wesam Ashour Office: B231 Email: [email protected] Course Webpage: http://site.iugaza.edu.ps/washour/courses/cluster-analysis/ Text Book: Guojun Gan, Chaoqun Ma, and Jianhong Wu. Data Clustering: Theory, Algorithms, and Applications. Contents: Data Clustering, Data Types, Scale Conversion, Data Standardization and Transformation, Similarity and Dissimilarity Measures, Hierarchical Clustering Techniques, Fuzzy Clustering Algorithms, Center Based Clustering Algorithms, Graph Based Clustering Algorithms, Grid Based Clustering Algorithms, Density Based Clustering Algorithms, Model Based Clustering Algorithms, Evaluation of Clustering Algorithms. We will cover as much as we can! References: Chapter 8 and 9: Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar Skills required: Any programming Language: C\C++, Java, or Matlab Grades: 1- 20% Assignment. 2- 40% Final Exam. 3- 40% Original Scientific Paper. Important Dates: Assignment dates: Will be organized later! Paper Initial Submession: Saturday, 7th May 2011 Paper (last version) submession: Wednesday 25th May 2011 Final Exam: Saturday, 28th May 2011, 14:00-17:00, K107 Important Advice: From first day in the semester you should work very hard and you must activate your mind to think as much as you can!