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Principal Components | Data Mining
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Project Content
3 Sections 16 Items
Information
3 Items
Syllabus
Calendar
Assignments
Lecture Notes
12 Items
Data Mining Overview
Classification and Bayes Rule, Naïve Bayes
Classification Trees
Discriminant Analysis Example 2: Fisher's Iris data
Logistic Regression Case
Neural Nets
Multiple Regression Review
Multiple Linear Regression in Data Mining
Comparison of Data Mining Techniques
k-Means Clustering, Hierarchical Clustering
Principal Components
Association Rules (Market Basket Analysis)
Exams
1 Items
Midterm Exam
Created by
Open Courseware
USA
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Information
3 Items
Syllabus
Calendar
Assignments
Lecture Notes
12 Items
Data Mining Overview
Classification and Bayes Rule, Naïve Bayes
Classification Trees
Discriminant Analysis Example 2: Fisher's Iris data
Logistic Regression Case
Neural Nets
Multiple Regression Review
Multiple Linear Regression in Data Mining
Comparison of Data Mining Techniques
k-Means Clustering, Hierarchical Clustering
Principal Components
Association Rules (Market Basket Analysis)
Exams
1 Items
Midterm Exam
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