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The First Discriminant Theory Of Linearly Separable Data

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Posted 27 April 2024 - 06:23 PM

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The First Discriminant Theory of Linearly Separable Data:
From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
English | 2024 | ISBN: 9819994195 | 378 Pages | PDF EPUB (True) | 63 MB

This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169 microarrays (LSD) of Theory2. Furthermore, you can quickly analyze the medical data with the misclassified patients which is the true purpose of diagnoses. Author developed RIP (Optimal-linear discriminant function finding the combinatorial optimal solution) as Theory1 in decades ago, that found the minimum misclassifications. RIP discriminated 63 (=26-1) models of Swiss banknote (200*6) and found the minimum LSD: basic gene set (BGS).

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