MATLAB Implementation of Classic Algorithms in Data Mining
Comprehensive collection of MATLAB code implementations for fundamental data mining algorithms
Simulation of Classical HEED Clustering Algorithm
MATLAB-based simulation source code for the classical HEED (Hybrid Energy-Efficient Distributed) clustering algorithm, effectively demonstrating protocol performance through configurable parameters and cluster formation visualization. Contains MATLAB .m files ready for execution with detailed comments on energy modeling and cluster head selection mechanisms.
SENSE Algorithm: A Classic Approach to Parallel Magnetic Resonance Imaging
SENSE (SENSitivity Encoding), a cornerstone algorithm in parallel MRI, is exceptionally valuable for researchers in this field. The algorithm is implemented using sensitivity maps and matrix operations to reconstruct images from multi-coil acquisition data, significantly improving imaging efficiency and resolution.
Classic Multivariate Statistical Algorithm Programs including PLS
Statistical algorithms featuring numerous classic multivariate statistical techniques such as PLS, PCR, GA, PCR-UVE, PLS-UVE, UVE-CV, PLS-GA, MLR, LWR, Artificial Neural Networks, SPA, LSS with code implementation insights
Classical Optical Flow Field Algorithms with MATLAB Implementation
Classic optical flow field algorithms with ready-to-use MATLAB programs for immediate application
Classic Image Matching Algorithms Implementation
This MATLAB GUI-based program implements classic image matching algorithms with user-friendly interface controls and parameter configurations.
Top Ten Classic Algorithms in Pattern Recognition
Comprehensive overview of the ten most influential pattern recognition algorithms with detailed implementation processes, carefully compiled and presented with technical insights
Classic Algorithms Source Code: Interpolation, Equation Solving, and Plotting
MATLAB classic algorithms source code featuring interpolation methods, equation solvers, and plotting functions with implementation examples.
C4.5 Decision Tree Algorithm Source Code
C4.5 Decision Tree Algorithm Source Code. C4.5 is a classic algorithm in the decision tree domain, with academic book citations exceeding 10,000 times. Implementation includes key components like information gain ratio calculation, tree pruning mechanisms, and support for handling both continuous and discrete attributes.
AdaBoost + KNN + LBP Face Recognition Code: Classic Algorithms with Implementation Details
Implementation of classic face recognition algorithms using AdaBoost, KNN, and LBP feature extraction with code explanations and technical insights