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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based;

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Segmentation Methods Based On Logistic Type Mixture Model

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Mixture Models and Applications

applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter;

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Optimal Mixture Experiments

The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general;

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New Classification Method Based on Modular Neural Networks with the LVQ Algorith

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector;

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Time Series Clustering and Classification

developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification;

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Time Series Clustering and Classification

relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based;

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Classification & Application of Fractals

This book presents current research in the study of the classification and application of fractals. Topics discussed include the fractal;

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Records Classification: Concepts, Principles and Methods

-based classification to ensure records are classified in context. Gives a step-by-step functional model for constructing a;

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Testing Lack of Fit in a Mixture Model

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Testing Lack of Fit in a Mixture Model

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Model-Based Clustering and Classification for Data Science

and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to;

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Statistical Modelling in Higher Learning

Classification Model which predicts values of the outcome variable based on values of independent variables.Binary Logistic Regression is a technique;

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Handbook of Mixture Analysis

mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy;

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which;

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Hyperspectral Image Processing

classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP;

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Competency-Based Assessments In Mental Health Practice

diagnostic assessments using case examples. Author Susan Gray begins with an overview of the competency-based assessment model and the multiaxial;

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Advanced Image and Video Processing Using MATLAB

methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on;

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Study Of Foreground Image Segmentation using Support Vector Machines

dimension of feature space is very high. An SVM based system constructs a hyper-plane in a higher or infinite dimensional space, which can be used;

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Source Separation and Machine Learning

algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a;

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Higher-Order Growth Curves and Mixture Modeling with Mplus

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models;

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Higher-Order Growth Curves and Mixture Modeling with Mplus

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models;

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Medical Content-Based Retrieval for Clinical Decision Support

retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or;

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Rough-Fuzzy Pattern Recognition

pattern recognition models. Based on the existing as well as new results, the book is structured according to the major phases of a pattern;

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Fuzzy Clustering Via Proportional Membership Model

proposes a framework for typological classification based on a fuzzy clustering model of data generation.;

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