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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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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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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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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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Data Clustering

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

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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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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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Apache Mahout Clustering Designs

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

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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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Data Clustering and Image Segmentation Through Genetic Algorithms

As computers are being used more and more to solve complex problems, the application of biology or n;...

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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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Metaheuristic Clustering Algorithm

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

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Algorithms Illuminated (Part 3)

Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Part 3 covers;...

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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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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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Data Clustering

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. T;...

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Pathway Modeling & Algorithm Research

This book presents and discusses research in the study of computer science. Topics discussed include;...

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified fr;...

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Introduction to Clustering Large and High-Dimensional Data

There is a growing need for a more automated system of partitioning data sets into groups, or cluste;...

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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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Clustering and Neural Network Approaches for General NN-Simulator

This book is based on the basis that clustering and neural networks methods. The clustering algorith;...

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Data Mining Algorithms

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that cov;...

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Clustering Algorithms & Mathematical Modeling

Cluster analysis has been used in a variety of fields. An algorithm is applied to the data with the ;...

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