LINGO Programs Usage and New Facts by Iris Data

Shuichi Shinmura ()

Chapter Chapter 2 in The First Discriminant Theory of Linearly Separable Data, 2024, pp 67-127 from Springer

Abstract: Abstract This chapter introduces four LINGO Programs and new facts from Fisher’s Iris data. It consists of three species, Setosa (G1), Versicolor (G2), and Virginica (G3), with 4 variables. X3 and X4 are two univariate BGSs. The scatterplots show three LSDs—G1 and G2 (G1&2), G1 and G3 ( G1&3), and G1 and G23 (G1&23). The 2-variable BGS (X1, X2) shows G1&23 is LSD, also. Therefore, it has four LSD, best-suited data explaining four LINGO Programs. Once you understand how to use those, you will have powerful data analysis skills that will give you excellent results on every discriminant data. Theory3 is an interdisciplinary method based on Theory1 and Theory2, 3 kinds of Facts and Methods, which go beyond conventional discriminant theory—not limited to human cancer gene diagnosis. For example, you can perform the same genetic diagnosis as in this book from animals’ gene data. Furthermore, if misclassified cases found in RIP are omitted and used as Test samples, the remaining data become LSD. Therefore, you can obtain clear results for all discriminant data with misclassification, as shown in Chap. 3 . Chapter 6 introduces Program3 (SM decomposition) in detail, which is important for high-dimensional gene data analysis.

Keywords: Easy usage of four LINGO Programs, RIP (Revised IP-OLDF), Program1 (RIP), Program2 (Validation1), Program4 (BGS decomposition; Structure3) Program3 (SM decomporition; Structure2), Fisher’s Iris Data, Four LSD (Linear Separable Data), BGS (Basic Gene Set; minimum LSD), Two univariate BGSs, Two-variable BGS (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-9420-5_2

Ordering information: This item can be ordered from
http://www.springer.com/9789819994205

DOI: 10.1007/978-981-99-9420-5_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().