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Simplification of correspondence analysis for more precise calculation which one qualitative variables is two categorical data


Article Information

Title: Simplification of correspondence analysis for more precise calculation which one qualitative variables is two categorical data

Authors: I. Ginanjar, U.S. Pasaribu, A. Barra

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 3

Language: English

Categories

Abstract

The calculations of correspondence analysis (CA) are using the long stages matrix operations, so that through many times rounding process, and the Eigenvalues obtained by numerical process. The CA is often using standard residual matrix to calculate the singular value decomposition (SVD), this paper proves that 0 is a singular value of standard residual matrix. Based on that, this paper introduce simplification of correspondence analysis (SoCA) of 2×H contingency table where H=2, 3, 4,?, where obtain the simpler and more precise calculation, because it managed to minimize rounding process, also does not use the numerical process, with use standardized residuals matrix as a matrix to calculate the SVD, it is very useful for data mining techniques.


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