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Pattern Recognition

Introduction of PR

Introduction
Dataset
Model
Cost_Function
Learning_Rule

Visualization

Visualization

Clustering

Clustering Concept
Clustering
k-means and fuzzy-c-means clustering
Complementary of FCM
Project Linkage clustering
Project \( \epsilon \) -insensitive Linkage
Project Title: Self-Organizing Feature Map (SOFM)

Regression

Regression
Linear Regression
Non-linear Regression: The starting point
Linearization
Kernel method
Project : Evaluation and Model Selection
Solution Method
Theoretical Aspects of Regression
Applications in Pattern Recognition

Classification

Classification
Support Vector Data Description (SVDD)
Support Vector Machine (SVM)
Fihser Classifier
Kernel Fisher Discriminant Analysis
Project Induction in Decision Trees

BayesEstimation

Bayes Estimation
kernel-based density estimation
Mean Shift Algorithm
Parametric Density Estimation
Gaussian Mixture Model

Student Effort

Click to View Student Effort

Supplementary

Supplementary Documents
Eigen Value Decomposition
Twin SVM
Covariance

Contact

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About Me

Repository
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By Dr.Hadi Sadoghi Yazdi

© Copyright 2024 Pattern Recognition Lab.