×
Home Discussions Write at Opengenus IQ
×
  • Join our Internship 🎓
  • #7daysOfCode
  • C Interview questions
  • Linux 💽
  • 🔊 Data Structures
  • Graph Algorithms
  • Dynamic Programming 💑
  • Greedy Algo 📔
  • Algo Book 🧠
  • String Algo 🧬
  • Home

kernel principal component analysis

A collection of 1 post

Machine Learning (ML)

Kernel Principal Component Analysis (KPCA)

Kernel Principal Component Analysis (KPCA) is a non-linear dimensionality reduction technique. It is an extension of Principal Component Analysis (PCA) - which is a linear dimensionality reduction technique - using kernel methods.

Mohamed Almaki Mohamed Almaki
×

Visit our discussion forum to ask any question and join our community

View Forum
OpenGenus IQ © 2021 All rights reserved â„¢ [email: team@opengenus.org]
Top Posts LinkedIn Twitter