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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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Evolutionary Data Clustering

for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms;

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Image Processing with MATLAB

Image Processing with MATLAB (R): Applications in Medicine and Biology explains complex, theory-laden topics in image processing through;

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Advances in Spatio-Temporal Segmentation of Visual Data

transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

, abstract: Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic;

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Hybrid Metaheuristics for Image Analysis

problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using;

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Lecture Notes In Data Mining

The continual explosion of information technology and the need for better data collection and management methods has made data mining an;

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Data Mining Concept Animation Library

, I start to create a collection of graphical and interactive implementation of data mining algorithms, called Data Mining Concept Animation;

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Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition

data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with;

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Data Clustering in C++

and programming techniques, Data Clustering in C++ exploits the commonalities of all data clustering algorithms to create a flexible set;

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Data Clustering in C++

and programming techniques, Data Clustering in C++ exploits the commonalities of all data clustering algorithms to create a flexible set;

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Biomedical Image Segmentation

As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Biomedical Image Segmentation

As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed;

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Image Reconstruction of a Manufacturing Process

), Genetic Programming (GP), Evolutionary Strategy (ES) and Evolutionary Programming (EP). GP have been widely used to solve a variety of problems;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Digital Image Processing Algorithms and Applications

algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the;

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Machine Vision

extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern;

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Contrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Advances in Swarm and Computational Intelligence

; evolutionary and genetic algorithms; differential evolution; brain storm optimization algorithm; biogeography based optimization; cuckoo search; hybrid;

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Performance analysis of Image segmentation Algorithms

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Data Clustering

on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50;

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