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Fuzzy Approach to Hierarchical Clustering

In this book we tried to extend the possibilities of hierarchical clustering methods to manipulate with fuzzy data both during preparing;

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Fuzzy Sets & their Application to Clustering & Training

, particularly in pattern recognition, data mining, adaptive and hierarchical clustering, and classifier design. Fuzzy Sets and their Application to;

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Secure Clustering in Multi-Modal Wireless Sensor Networks

at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy;

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Fuzzy Hierarchical Model for Risk Assessment

Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and;

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Unsupervised Machine Learning for Clustering in Political and Social Research

detailed: agglomerative hierarchical clustering, k-means clustering, Gaussian mixture models, and at a higher-level, fuzzy C-means clustering;

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Theory of Agglomerative Hierarchical Clustering

This book discusses recent theoretical developments in agglomerative hierarchical clustering. The general understanding of agglomerative;

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Fuzzy Sets, Rough Sets, Multisets and Clustering

This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the areas in which he contributed. Bringing;

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A Graph Theoretic Approach to Heterogeneous Data Clustering

present a novel graph theoretic approach to perform pairwise heterogeneous data co-clustering. We then propose Isoperimetric Co-clustering;

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Clustering

hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant;

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Clustering

hierarchical clustering-have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant;

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Fuzzy Clustering Via Proportional Membership Model

Development of models with explicit mechanisms for data generation from cluster structures is of major interest in order to provide a;

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Advances In Fuzzy Clustering And Its Applications

case studies in which fuzzy clustering plays a pivotal role This book will be of key interest to engineers associated with fuzzy control;

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Clustering

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to;

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Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical;

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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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Apache Mahout Clustering Designs

of the algorithms, such as K-Means, Fuzzy K-Means, StreamingKMeans, and how to use Mahout to cluster your data using a particular algorithm. You;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators;

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Fuzzy Information Processing

, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification;

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Fuzzy Image Processing and Applications with MATLAB

In contrast to classical image analysis methods that employ crisp mathematics, fuzzy set techniques provide an elegant foundation and a;

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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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Fuzzy and Multi-Level Decision Making

efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision;

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Fuzzy C-means Clustering using Pattern Recognition

recognize the pattern and the structure in data. The fuzzy approach that i have chosen to process the data completely depends on the type of data;

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Hesitant Fuzzy Sets Theory

This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research;

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Fuzzy Logic and Soft Computing Applications

This book constitutes the proceedings of the 11th International Workshop on Fuzzy Logic and Applications, WILF 2016, held in Naples, Italy;

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Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers

for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior;

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Fuzzy Logic in Chemistry

hierarchical classification methods. Fuzzy Logic in Chemistry will appeal to both students and professionals who are seeking to learn more about theory;

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