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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering Algorithms

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The;

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Second-Order Directional Derivatives in Nonsmooth Optimization

Second-Order Directional Derivatives in Nonsmooth Optimization is een boek van Liren Huang;

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Nonsmooth Optimization Methods

Nonsmooth Optimization Methods and Applications provides an overview of this branch of mathematics, concentrating on the interaction;

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Numerical Nonsmooth Optimization

Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this;

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Automatic Document Clustering

of Amharic news items. There are different techniques to automatic document clustering. The variants of hierarchical and partitional techniques are;

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An Introduction to Nonlinear Optimization Theory

The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting;

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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov

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Data Clustering

used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic;

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Optimization for Data Analysis

; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations;

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Evolutionary Data Clustering

algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi;

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Constrained Clustering

-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering;

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Clustering in Bioinformatics and Drug Discovery

partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster;

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Clustering in Bioinformatics and Drug Discovery

partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster;

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Optimization and Nonsmooth Analysis

has been praised both for its lively exposition and its fundamental contributions. The author first develops a general theory of nonsmooth;

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Nonlinear Analysis and Variational Problems

of functional equations, nonsmooth optimization, and several other important topics at the forefront of nonlinear analysis and optimization.;

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Inverse Problems

. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian;

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Lecture Notes In Data Mining

of clustering or unsupervised classification. The functionality of hierarchical and partitional clustering algorithms is also covered as well as the;

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Nonlinear Programming Techniques for Equilibria

. convex optimization, nonsmooth calculus, proximal point and descent algorithms - as valuable tools for analyzing and solving Ky Fan inequalities.;

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Nonsmooth Mechanics and Convex Optimization

This book concerns matter that is intrinsically difficult: convex optimization, complementarity and duality, nonsmooth analysis, linear and;

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Nonsmooth Mechanics and Convex Optimization

This book concerns matter that is intrinsically difficult: convex optimization, complementarity and duality, nonsmooth analysis, linear and;

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Clustering and Neural Network Approaches for General NN-Simulator

different example in real analysis.The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension;

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Data Clustering and Image Segmentation Through Genetic Algorithms

study and design of human systems helps provide efficient optimization algorithms. Data Clustering and Image Segmentation Through Genetic;

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Conformal Maps of Nonsmooth Surfaces and Their Applications

Conformal Maps of Nonsmooth Surfaces and Their Applications is een boek van Vladimir M. Miklyukov;

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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search;

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