A new approach to signal filtering method using K-means clustering and distance-based Kalman filtering

Computer Science

• K-Means Clustering 100%
• Filtering Method 100%
• Reference Data 100%
• Support Vector 100%
• Deep Neural Network 50%
• Linear Discriminant Analysis 50%
• Execution Time 50%
• Neural Network Approach 50%
• Dimensional Reduction 50%
• Classification Method 50%

Engineering

• Reference Data 100%
• Support Vector Machine 100%
• Classification Method 50%
• Metal Oxide Semiconductor 50%
• Execution Time 50%
• Neural Network Approach 50%
• Electronic Nose 50%
• Deep Neural Network 50%

Chemical Engineering

• Support Vector Machine 100%
• Oxide Semiconductors 50%
• Deep Neural Network 50%