"Reducing High-Dimensional Data by Principal Component Analysis vs. Random ..."

Sampath Deegalla, Henrik Boström (2006)

> Home

Details and statistics

DOI: 10.1109/ICMLA.2006.43

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-24

- view
  authority control:
- export record
  dblp key:
  - conf/icmla/DeegallaB06
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmla/DeegallaB06
Sampath Deegalla, Henrik Boström:
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification. ICMLA 2006: 245-250

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.