Data linearity using Kernel PCA with Performance Evaluation of Random Forest for training data: A machine learning approach
- Title
- Data linearity using Kernel PCA with Performance Evaluation of Random Forest for training data: A machine learning approach
- Description
- 2016 International Conference on Computer Communication and Informatics, ICCCI 2016
- Creator
- Biju V.G.; Prashant C.M.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978112696&doi=10.1109%2fICCCI.2016.7479924&partnerID=40&md5=1e6fe1a84c9ccec0e36723cbc207a61b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978112696&doi=10.1109%2fICCCI.2016.7479924&partnerID=40&md5=1e6fe1a84c9ccec0e36723cbc207a61b</a>
- Date
- 2016-01-01
Collection
Citation
Biju V.G.; Prashant C.M., “Data linearity using Kernel PCA with Performance Evaluation of Random Forest for training data: A machine learning approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/11318.