Skip to main content
Ctrl+K
Dr.Hadi Sadoghi Yazdi - Home Dr.Hadi Sadoghi Yazdi - Home
  • 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

  • Contact Me
  • About Me
  • Repository
  • Open issue

Index

By Dr.Hadi Sadoghi Yazdi

© Copyright 2024 Pattern Recognition Lab.