Data Preprocessing Implementation Using MATLAB Code
Performing data preprocessing in MATLAB with analysis of data distribution patterns including statistical visualization techniques
ISOMAP Manifold Learning MATLAB Implementation
Classical manifold learning algorithm ISOMAP for data preprocessing, which discovers intrinsic data structures through geodesic distance computation on neighborhood graphs. The mapped low-dimensional representation enables further operations like classification and regression. Experimental results on software engineering datasets demonstrate ISOMAP's superior performance over PCA. The implementation includes key functions for neighborhood graph construction, shortest path calculation, and multidimensional scaling.
Source Code for RBF Neural Network-Based Wine Evaluation Model
Source code for RBF neural network evaluation model developed for the 2012 "Higher Education Cup" Mathematical Contest in Modeling wine quality assessment, including corresponding datasets and classical data preprocessing methods
Multiwavelet Decomposition and Reconstruction for Data Preprocessing
A data preprocessing program implementing multiwavelet decomposition and reconstruction using CL4 balanced multiwavelets with identity prefilters. For non-balanced multiwavelets, simply replace with appropriate prefilters - the algorithm supports flexible wavelet system configurations.
Analysis of Data Independence
Analysis of Data Independence and Data Preprocessing Techniques (Centering and Whitening)
MATLAB Code Implementation for Principal Component Analysis Function
MATLAB code implementation of Principal Component Analysis (PCA) function with detailed algorithmic explanations
Preliminary Data Preprocessing for Rough Set Theory with Discretization
Initial Rough Set Data Preprocessing with Focus on Continuous Data Discretization Techniques
Pattern Recognition: Algorithms, Implementation, and Practical Applications
Pattern Recognition - Fundamental Concepts, Key Algorithms, and Code Implementation Approaches
Comprehensive Training Process of BP Neural Networks
Implementation and Workflow of Backpropagation Neural Network Training
Continuous Attribute Discretization Algorithms in Rough Set Theory
Algorithms and Implementation Methods for Discretizing Continuous Attributes in Rough Set Theory