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Statistics 6239: Clustering Algorithms
An introduction to cluster analysis and clustering algorithms rooted in computational intelligence, computer science and statistics. Clustering in sequential data, massive data and high dimensional data. Students will be evaluated by individual or group research projects and research presentations.(Co-listed with Comp Eng 6330, Elec Eng 6340, Sys Eng 6214 and Comp Sci 6405)
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Time/Day: 07:00 pm - 09:30 pm T Prerequisites: At least one graduate course in statistics, data mining, algorithms, computational intelligence, or neural networks, consistent with student's degree program. Units: 3 Course Component(s): Lecture |
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Attention Distance Students
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| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 73188 | 1DIS |
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| Learning Management System | Blackboard | |||