PCA-KMeans Clustering Analysis with Dimensionality Reduction
PCA-KMeans clustering workflow: implementing dimensionality reduction on Wine dataset from UCI repository followed by clustering analysis for pattern discovery
Professional MATLAB source code with comprehensive documentation and examples
PCA-KMeans clustering workflow: implementing dimensionality reduction on Wine dataset from UCI repository followed by clustering analysis for pattern discovery
Implementation of Finite Element Method for analyzing plates subjected to concentrated loads using 2D quadrilateral mesh elements
Implementation of Time Delay Estimation Using Cross-Correlation Analysis with MATLAB Code Examples
This MATLAB simulation program implements passive target localization using Newton's iteration method, incorporating known time-delay prior information. The code includes sophisticated implementations such as symbolic iteration and contour plotting f
MATLAB implementation of Dijkstra's shortest path algorithm with code optimization and visualization features
Estimating liquid level height using Recursive Least Squares method with MATLAB implementation and algorithm explanation
Explore classic data assimilation algorithms featuring the Ensemble Kalman Filter, implemented in MATLAB with reference materials. Ideal for beginners learning numerical implementation and matrix operations for state estimation.
MATLAB implementation of the standard differential evolution algorithm featuring a ready-to-run function with parameter customization options
Comprehensive MATLAB toolbox implementing the fast marching algorithm for level set methods, featuring complete functionality and extensive applications in computational geometry and image processing.
Collaborative finite element program utilizing both MATLAB and spreadsheets, featuring spreadsheet-based preprocessing with MATLAB handling computational analysis and postprocessing operations.
This program implements the autocorrelation method to calculate the optimal time delay parameter for reconstructing chaotic time series from observed data.
LBG Algorithm Implementation: Random Initial Codebook Generation, Training Vector Partitioning for Centroid Calculation and Codebook Updates, Including Empty Cell Removal Procedures
This program implements the crucial Logistic Map from chaos theory, featuring a plotting function that visually demonstrates fascinating chaotic phenomena through generated curves.
Implementation of PCA-based face recognition (Eigenface) involving reading 20 training images, computing mean vectors, covariance matrices, eigenvalues and eigenvectors with timing measurements, displaying Eigenfaces in figure(i). Processing 4 test i
A particle filter implementation for direction detection featuring integrated resampling algorithms for enhanced estimation accuracy.
PNN classifier algorithm implementation using MATLAB source code for efficient classification tasks with probability density estimation.
An efficient algorithm for calculating various parameters of multifractal spectrum with robust handling of diverse data types and scales
MATLAB code for GPS baseline resolution including file reading operations, ambiguity calculation algorithms, and data processing modules. The implementation features structured data parsing and numerical optimization techniques for precise positionin
A compact MATLAB program implementing Principal Component Analysis (PCA) for hyperspectral images, requiring input data in .mat format for efficient dimensionality reduction and feature extraction.
Source code implementation of Latin Hypercube Sampling algorithm for power flow calculations, enabling probabilistic power flow analysis with enhanced sampling efficiency through structured random sampling techniques.