Supplementation of Adjusted Values to the Imperfect Data

スポンサーリンク

概要

• 論文の詳細を見る

• 本文データの一部は、CiNiiから複製したものである。It happens frequently that the observational data is not complete but missing partly by various reasons. A preliminary study for supplementing adjusted values to such imperfect data based on Principal Component Analysis (PCA) is executed. IRAS 3 colors of mass-losing stars and their expanding velocity on the ground based observations are adopted for the experiment. One of these 4 data is eliminated for each star and the adjusted value is restored. The original data and the restored one are compared and the distribution of the restored errors is studied.

• 近畿大学の論文
• 2005-02-28

著者

• Yamamoto Nawo

  Software Research Associates Inc.

• YUASA Manabu

  RIST, Kinki University

• Yamamoto Nawo

  Research Institute For Science And Technology Kinki University

• Umetani Masafumi

  Department Of Astronomical Science The Graduate University For Advanced Studies

• Das M

  Institute Of Informatics & Communication University Of Delhi South Campus

• YAMAMOTO Nawo

  RIST, Kinki University

• UMETANI Masafumi

  RIST, Kinki University

• DAS M.

  Institute of Informatics & Communication, University of Delhi South Campus

• Yuasa Manabu

  Kinki Univ. Higashi‐osaka Jpn

• 湯浅 学

  RIST, Kinki University

関連論文

• Reliability Checks on the Indo-US Stellar Spectral Library Using Artificial Neural Networks and Principal Component Analysis
• Indicators of Chaos
• Identification of Peculiar Data by Using Restoration Method Based on Principal Component Analysis
• Restoration of Missing Data and Reconstruction of Dynamical Systems
• Supplementation of Adjusted Values to the Imperfect Data
• Characterization of Attractors in Gumowski-Mira Map Using Fast Lyapunov Indicators

スポンサーリンク