Radial Basis Function with K Mean Clustering
The program is the implementation of Radial Basis Function for classification task Using K-Mean Clustering
Two example are given check one at a time
Solution of K*W=T using Pseudo Inverse technique
Multiply K' on Both sides to get K'*K*W=K'*T
Multiply with the inverse of (K'*K) on Both sides to get W=inv(K'*K)*K'*T
Zitieren als
Shujaat Khan (2024). Radial Basis Function with K Mean Clustering (https://www.mathworks.com/matlabcentral/fileexchange/46220-radial-basis-function-with-k-mean-clustering), MATLAB Central File Exchange. Abgerufen .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control >
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Inspiriert von: PCA Based Face Recognition System Using ORL Database
Inspiriert: Function approximation using "A Novel Adaptive Kernel for the RBF Neural Networks"
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K-mean Clustering and RBF _V_1.0
Version | Veröffentlicht | Versionshinweise | |
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1.11 | - Updated summary |
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1.1 | Toolbox |
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1.0.0.0 |