Evaluation of the Impact of Initial Positions obtained by Clustering Algorithms on the Straight Line Segments Classifier

Mathematics

• Clustering Algorithm 100%
• Line Segment 100%
• Initial Position 100%
• Straight Line 100%
• Minimizes 16%
• Gaussian Distribution 16%
• Squared Error 16%
• Distance between Point 16%
• Classification Problem 16%
• K-Means 16%
• Training Set 16%
• Data Mining 16%

Engineering

• Line Segment 100%
• Straight Line 100%
• Clustering Algorithm 100%
• Initial Position 100%
• Mean-Squared-Error 16%
• Gaussians 16%
• K-Means Classification Algorithm 16%
• Noise Level 16%
• Bayes Classifier 16%
• Gradient Descent Method 16%
• Classification Problem 16%
• Classification Algorithm 16%

Computer Science

• Clustering Algorithm 100%
• Initial Position 100%
• Class Classification 16%
• Supervised Learning 16%
• Data Mining 16%
• Mean Algorithm 16%
• Speech Recognition 16%
• Classification Algorithm 16%
• Classification Problem 16%
• Bayes Classifier 16%
• Gradient Descent Method 16%
• Supervised Classification 16%