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Combining DBSCAN and Grid Based Clustering For Performance Analysis

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Control Techniques for LCL-Type Grid-Connected Inverters

This book focuses on control techniques for LCL-type grid-connected inverters to improve system stability, control performance and;

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Unsupervised Machine Learning for Clustering in Political and Social Research

. This Element offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for;

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Modern Algorithms of Cluster Analysis

described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Data Clustering

clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains;

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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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Recent Advances in Hybrid Metaheuristics for Data Clustering

. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis;

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A Graph Theoretic Approach to Heterogeneous Data Clustering

is threefold: homogeneous clustering of images, pairwise heterogeneous data co-clustering, and high-order star-structured heterogeneous data co;

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Performance Analysis of Grid-Connected Photovoltaic Power Systems

. The aim of this book is to study, design and performance analysis of grid-connected PV system as follows: System modeling; that is composed;

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Machine Learning with Clustering

/>DBSCAN;Neural network-based clusteringYou will learn different strengths and weaknesses of these algorithms as well as;

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Evolving Developments in Grid and Cloud Computing

provides current trends and emerging issues in cloud and grid architectures, standards and performance analysis.;

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Data Clustering

on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50;

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Smart Grid

guideline in the design, analysis and development of Smart Grid. It incorporates all the essential factors of Smart Grid appropriate for enabling;

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Synchronized Phasor Measurements for Smart Grids

, classification and localization in smart power grids; PMU-based vulnerability assessment of power systems; synchrophasor applications for load estimation;

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Customer Payment Trend Analysis based on Clustering for Predicting the Financial Risk of Business Organizations

Customer Payment Trend Analysis Based On is een boek van Jeeva Jose;

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Cloud, Grid and High Performance Computing

Cloud, Grid and High Performance Computing: Emerging Applications offers new and established perspectives on architectures, services and;

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Metaheuristic Clustering Algorithm

methods for clustering complex data sets and improve performance of some algorithms that illustrated in the literature. Experimental results are;

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Grid Computing for Bioinformatics and Computational Biology

The only single, up-to-date source for Grid issues in bioinformatics and biology Bioinformatics is fast emerging as an important;

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Grid and Cloud Computing and Applications

Grid and Cloud Computing and Applications is a compendium of articles and papers that were presented at GCA '14, an international;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Modeling and Analysis of Doubly Fed Induction Generator Wind Energy Systems

system, but also examining different strategies for analysis, such as frequency-domain-based and state-space-based approaches.

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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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Successful Smart Grid Implementation

Successful Smart Grid Implementation prepares readers to plan, execute, and properly control a smart meter and grid operational technology;

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Topology Control for Mobile Ad hoc Networks

using the clusterhead information and extend this approach to multi-level clusters. We propose a new connected dominating set based clustering;

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