Principal curves with bounded turn

S. Sandilya, S. R. Kulkarni

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not exist for general distributions. The existence of principal curves with bounded length and a learning algorithm for such curves for any distribution that satisfies some minimal regularity conditions has been shown. We define principal curves with bounded turn, show that they exist, and present a learning algorithm for them.

Original languageEnglish (US)
Pages (from-to)321
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
StatePublished - 2000
Event2000 IEEE International Symposium on Information Theory - Serrento, Italy
Duration: Jun 25 2000Jun 30 2000

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics


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