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Fuzzy Approach to Hierarchical Clustering

and clustering of data.The main aim was to apply some results of fuzzy sets theory and to develop new elements of hierarchical agglomerative;

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Theory of Agglomerative Hierarchical Clustering

hierarchical clustering is that its theory was completed long ago and there is no room for further methodological studies, at least in its fundamental;

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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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Fuzzy Sets & their Application to Clustering & Training

Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge;

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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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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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Clustering

explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential;

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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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Clustering in Bioinformatics and Drug Discovery

drug discovery. Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory;

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Clustering in Bioinformatics and Drug Discovery

drug discovery. Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory;

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A Graph Theoretic Approach to Heterogeneous Data Clustering

-clustering. First, we propose a semantic-based hierarchical image clustering framework based on multi-user feedback. By treating each user as an;

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Machine Learning with Clustering

widely-used clustering approaches with visual representations:Hierarchical agglomerative clustering;K-means;

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Secure Clustering in Multi-Modal Wireless Sensor Networks

Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering;

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Making Sense of Data II

hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed. Predictive Analytics presents a discussion on how to;

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Data Clustering

clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and search-based methods. As a;

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Applied Unsupervised Learning with R

Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabel;...

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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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Theory of Simple Liquids

of existing sections on simulation methods, liquid-vapour coexistence, the hierarchical reference theory of criticality, and the dynamics of super;

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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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LargeScale Structure Of The Universe

. Chapter Two contains a survey of methods used to deal with the Newtonian approximation to the theory of the evolution of the mass distribution;

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Adaptive Resonance Theory in Social Media Data Clustering

unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges;

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A Primer in Combinatorics

elementary combinatorial constructions, application to probability theory, introduction to graphs and trees with application to hierarchical;

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Handbook of Research on Cluster Theory

overview of economic cluster research. Topics explored include agglomeration and cluster theory, methods for analysing clusters, clustering;

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Handbook of Research on Cluster Theory

overview of economic cluster research. Topics explored include agglomeration and cluster theory, methods for analysing clusters, clustering;

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Hierarchy and Organisation

the question, author Thomas Diefenbach develops a general theory of the persistence of hierarchical social order. This theory interrogates the;

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Hierarchy and Organisation

the question, author Thomas Diefenbach develops a general theory of the persistence of hierarchical social order. This theory interrogates the;

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