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Ordinal And Relational Clustering (With Cd-rom)

Most modern textbooks on cluster analysis are written from the standpoint of computer science, which give the background, description and;

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Data Clustering

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Markov Chain Monte Carlo Simulations And Their Statistical Analysis

This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced;

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Constrained Clustering

in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use;

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Robust Cluster Analysis and Variable Selection

well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory;

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Data Clustering and Image Segmentation Through Genetic Algorithms

principles. Featuring research on topics such as cluster analysis, metaheuristic optimization, and image processing, this book is ideally designed;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to;

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Handbook of Cluster Analysis

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by;

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Modern Algorithms of Cluster Analysis

This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc;

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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 purpose of dividing the elements;

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Hybrid Artificial Intelligent Systems

algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.;

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Machine Learning Approaches for Urban Computing

prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Handbook of Data Visualization

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic;

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Data Science Algorithms in a Week

problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged;

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Distributed Computer-Aided Engineering

Networking of personal computers and workstations is becoming commonplace in academic and industrial environments. A cluster;

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Introduction to Data Mining

important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book;

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Algorithm Design

structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental;

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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 into homogeneous groups such that;

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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 into homogeneous groups such that;

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Cluster Analysis and Applications

graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;

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Cluster Analysis and Applications

graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;

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Mastering Machine Learning Algorithms

of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book DescriptionMastering Machine Learning Algorithms;

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Cluster Analysis 5th

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such;

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Methods for the Analysis of Asymmetric Proximity Data

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and;

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