Back to main page

Different Classification Methods

Concepts

• Classification: identify the category of new observation based on training with known dataset with obervations that are labeled with categories.
• Difference between classification and clustering:
  • Classification is supervised, works with labeled data
  • Clustering is unsupervised, works with unlabeled data

Types of classification methods

1. Linear classifiers:
   • Logistic Regression (LR)
   • Naive Bayes Classifier
   • Supported Vector Machine (SVM)
2. Non-linear Classifiers:
   • Kernel SVM
   • Nearest Neighbor
   • Decision Tree
   • Neural Networks

References