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Constrained Clustering

Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the;

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Exact Algorithms for Size Constrained Clustering

The Graduate School in Mathematical Sciences of the University of Milan consists of two PhD Programm;...

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Handbook of Cluster Analysis

inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi;

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Data Clustering

Research on the problem of clustering tends to be fragmented across the pattern recognition, databas;...

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Clustering

This is the first book to take a truly comprehensive look at clustering. It begins with an introduct;...

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Partitional Clustering Algorithms

This book focuses on partitional clustering algorithms, which are commonly used in engineering and c;...

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Data Clustering in C++

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects;...

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Data Clustering in C++

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects;...

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on op;...

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on op;...

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A Graph Theoretic Approach to Heterogeneous Data Clustering

Data clustering is the process of automatically grouping data objects into different groups (cluster;...

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Apache Mahout Clustering Designs

Explore clustering algorithms used with Apache Mahout About This Book * Use Mahout for cluster;...

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Clustering continuiteit enz huisartsen

Clustering continuiteit enz huisartsen;...

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Unsupervised Machine Learning for Clustering in Political and Social Research

In the age of data-driven problem-solving, applying sophisticated computational tools for explaining;...

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Evolutionary Data Clustering

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discus;...

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Fuzzy Sets & their Application to Clustering & Training

Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientifi;...

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Swarm Intelligence Based Optimization

discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle;

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Fuzzy Approach to Hierarchical Clustering

In this book we tried to extend the possibilities of hierarchical clustering methods to manipulate w;...

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Recent Advances in Hybrid Metaheuristics for Data Clustering

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approache;...

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An Introduction to Clustering with R

The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Clu;...

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Secure Clustering in Multi-Modal Wireless Sensor Networks

In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symme;...

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Pro Linux High Availability Clustering

Pro Linux High Availability Clustering teaches you how to implement this fundamental Linux add-on in;...

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Mysql Clustering

Clustering is the final component of MySQL that makes it truly enterprise-level and able to comp;...

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Clustering

Often considered more of an art than a science, books on clustering have been dominated by learning ;...

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Clustering

Often considered more of an art than a science, books on clustering have been dominated by learning ;...

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KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

Knn Classifier and K-Means Clustering Fo;...

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Metaheuristic Clustering Algorithm

The clustering problem has been addressed in many contexts and by researchers in many disciplines. T;...

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