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Viac informácií o knihe The First Discriminant Theory of Linearly Separable Data

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This book deals with the first discriminant theory of linearly separable data (LSD), Theory 3, 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).  In Theory2, RIP discriminated Shipp microarray (77*7129) which was LSD and had only 32 nonzero coefficients (first Small Matryoshka; SM1). Because RIP discriminated another 7,097 genes and found SM2, the author developed the Matryoshka feature selection Method2 (Program3), that splits microarray into many SMs. Program4 can split microarray into many BGSs. Then, the wide column LSD (Revolution-0), such as microarray (n

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Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: The First Discriminant Theory of Linearly Separable Data
• Podnázov: From Exams and Medical Diagnoses with Misclassifications to 169 Microarrays for Cancer Gene Diagnosis
• Autor: Shuichi Shinmura
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 690
• EAN: 9789819994199
• ID: 44493519
• Nakladateľ: Springer, Berlin
• Rozmery: 235 × 155 mm
• Dátum vydania: 12. May 2024

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