Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning /

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Izenman, Alan J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Springer Texts in Statistics,
Temas:
Probabilities.
Computer software.
Data mining.
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Pattern recognition systems.
Probability Theory.
Mathematical Software.
Data Mining and Knowledge Discovery.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • and Preview
  • Data and Databases
  • Random Vectors and Matrices
  • Nonparametric Density Estimation
  • Model Assessment and Selection in Multiple Regression
  • Multivariate Regression
  • Linear Dimensionality Reduction
  • Linear Discriminant Analysis
  • Recursive Partitioning and Tree-Based Methods
  • Artificial Neural Networks
  • Support Vector Machines
  • Cluster Analysis
  • Multidimensional Scaling and Distance Geometry
  • Committee Machines
  • Latent Variable Models for Blind Source Separation
  • Nonlinear Dimensionality Reduction and Manifold Learning
  • Correspondence Analysis.

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