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Robust Cluster Analysis and Variable Selection

well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory;

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Model-Based Clustering and Classification for Data Science

, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering;

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Robust Methods for Data Reduction

analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and discriminant analysis. The first part of the;

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Robust Methods for Data Reduction

analysis, canonical correlation analysis, factor analysis, clustering, double clustering, and discriminant analysis. The first part of the book;

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Handbook of Bayesian Variable Selection

The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects;

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Support Vector Data Description

This book is based on the basis that machine learningalgorithms and rank based statistical methods are abetter choice to develop a robust;

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Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures

Statistical Issues in Machine Learning Towards Reliable Split Selection and Variable Importance Measures is een boek van Strobl, Carolin;

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Diagnostic Methods in Time Series

This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order;

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Latent Variable and Latent Structure Models

include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi;

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Data Analysis Using Hierarchical Generalized Linear Models with R

, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing;

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Data Analysis Using Hierarchical Generalized Linear Models with R

, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing;

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Latent Variable and Latent Structure Models

include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi;

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Handbook of Cluster Analysis

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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Cambridge Tracts in Mathematics

The book provides an introduction to the theory of cluster sets, a branch of topological analysis which has made great strides in recent;

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Statistics In The Social Sciences

, multilevel models, social networks, missing data techniques, educational measurement, cluster analysis, and treatment effects. The aim of the book;

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Rank-Based Methods for Shrinkage and Selection

Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Cluster Analysis and Applications

graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;

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Cluster Analysis and Applications

graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;

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PostgreSQL 12 High Availability Cookbook

failover automation. From cluster layout and hardware selection to software stacks and horizontal scalability, this PostgreSQL cookbook will help;

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Cluster based Localization and Tracking in Ubiquitous Computing Systems

measurement integration, node inclusion/exclusion and cluster head selection are also described in this book.;

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Cluster Analysis 5th

of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes;

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Pro MySQL NDB Cluster

understand the advantages and disadvantages of the MySQL NDB Cluster solution, and when MySQL NDB Cluster is the right choice. Pro MySQL NDB Cluster;

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Research and Development Project Selection

analysis of the nine major selection methods----including cluster analysis, cognitive modeling, simulation, portfolio optimization, and decision;

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Plane Answers to Complex Questions

providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality;

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