Fuzzy Clustering Via Proportional Membership Model
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Fuzzy Clustering Via Proportional Membership Model
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Author : Susana Nascimento
language : en
Publisher: IOS Press
Release Date : 2005
Fuzzy Clustering Via Proportional Membership Model written by Susana Nascimento and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Development of models with explicit mechanisms for data generation from cluster structures is of major interest in order to provide a theoretical framework for cluster structures found in data. Especially appealing in this regard are the so-called typological structures in which observed entities relate in various degrees to one or several prototypes. Such structures are relevant in many areas such as medicine or marketing, where any entity (patient/consumer) may adhere, with different degrees, to one or several prototypes (clinical scenario/consumer behavior), modelling a typological classification. In fuzzy clustering, the fuzzy c-means (FCM) method has become one of the most popular techniques. As a fuzzy analogue of c-means crisp clustering, FCM models a typological classification, much the same way as c-means. However, FCM does not adhere to the statistical paradigm at which the data are considered generated by a cluster structure, while crisp c-means does. The present work proposes a framework for typological classification based on a fuzzy clustering model of data generation.
Optimization And Its Applications In Control And Data Sciences
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Author : Boris Goldengorin
language : en
Publisher: Springer
Release Date : 2016-09-29
Optimization And Its Applications In Control And Data Sciences written by Boris Goldengorin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-29 with Mathematics categories.
This book focuses on recent research in modern optimization and its implications in control and data analysis. This book is a collection of papers from the conference “Optimization and Its Applications in Control and Data Science” dedicated to Professor Boris T. Polyak, which was held in Moscow, Russia on May 13-15, 2015. This book reflects developments in theory and applications rooted by Professor Polyak’s fundamental contributions to constrained and unconstrained optimization, differentiable and nonsmooth functions, control theory and approximation. Each paper focuses on techniques for solving complex optimization problems in different application areas and recent developments in optimization theory and methods. Open problems in optimization, game theory and control theory are included in this collection which will interest engineers and researchers working with efficient algorithms and software for solving optimization problems in market and data analysis. Theoreticians in operations research, applied mathematics, algorithm design, artificial intelligence, machine learning, and software engineering will find this book useful and graduate students will find the state-of-the-art research valuable.
Intelligent Data Engineering And Automated Learning Ideal 2018
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Author : Hujun Yin
language : en
Publisher: Springer
Release Date : 2018-11-08
Intelligent Data Engineering And Automated Learning Ideal 2018 written by Hujun Yin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Computers categories.
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
Intelligent Data Engineering And Automated Learning Ideal 2019
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Author : Hujun Yin
language : en
Publisher: Springer Nature
Release Date : 2019-11-07
Intelligent Data Engineering And Automated Learning Ideal 2019 written by Hujun Yin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Computers categories.
This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.
Core Data Analysis Summarization Correlation And Visualization
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Author : Boris Mirkin
language : en
Publisher: Springer
Release Date : 2019-04-15
Core Data Analysis Summarization Correlation And Visualization written by Boris Mirkin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Computers categories.
This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of mathematically supported insights into the methods and relations between them. Two Chapters describe methods for categorical summarization: partitioning, divisive clustering and separate cluster finding and another explain the methods for quantitative summarization, Principal Component Analysis and PageRank. Features: · An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter. · Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc. · Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning. New edition highlights: · Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering · Restructured to make the logics more straightforward and sections self-contained Core Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.
Feature Weighting For Clustering
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Author : Renato Cordeiro de Amorim
language : en
Publisher: Renato Cordeiro de Amorim
Release Date : 2012
Feature Weighting For Clustering written by Renato Cordeiro de Amorim and has been published by Renato Cordeiro de Amorim this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
K-Means is arguably the most popular clustering algorithm; this is why it is of great interest to tackle its shortcomings. The drawback in the heart of this project is that this algorithm gives the same level of relevance to all the features in a dataset. This can have disastrous consequences when the features are taken from a database just because they are available. To address the issue of unequal relevance of the features we use a three-stage extension of the generic K-Means in which a third step is added to the usual two steps in a K-Means iteration: feature weighting update. We extend the generic K-Means to what we refer to as Minkowski Weighted K-Means method. We apply the developed approaches to problems in distinguishing between different mental tasks over high-dimensional EEG data.
Progress In Artificial Intelligence
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Author : José Maia Neves
language : en
Publisher: Springer
Release Date : 2007-11-17
Progress In Artificial Intelligence written by José Maia Neves and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-17 with Computers categories.
This book constitutes the refereed proceedings of the 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, held in Guimarães, Portugal, in December 2007 as eleven integrated workshops. The 58 revised full papers presented were carefully reviewed and selected from a total of 210 submissions. In accordance with the eleven constituting workshops, the papers are organized in topical sections on a broad range of subjects.
Smartparticipation
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Author : Luis Fernando Terán Tamayo
language : en
Publisher: Springer
Release Date : 2014-06-11
Smartparticipation written by Luis Fernando Terán Tamayo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-11 with Business & Economics categories.
In this book a fuzzy-based recommender system architecture for stimulating political participation and collaboration is proposed. It showcases the "Smart Participation" project, which uses the database of "smart vote", a well-known voting advice application (VAA) for local, cantonal and national elections in Switzerland. Additionally, an evaluation framework for e Participation is presented, which allows to analyze different projects and their development towards the enhancement of citizen's participation and empowerment. The book demonstrates the potential for building political communities and the stimulation of civic participation.
Constraint Reasoning For Differential Models
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Author : Jorge Cruz
language : en
Publisher: IOS Press
Release Date : 2005
Constraint Reasoning For Differential Models written by Jorge Cruz and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Focuses on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the formalism of Constraint Satisfaction Differential Problems. Such a framework allows the specification of ordinary differential equations by means of constraints.
Towards The Learning Grid
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Author : P. Ritrovato
language : en
Publisher: IOS Press
Release Date : 2005-11-03
Towards The Learning Grid written by P. Ritrovato and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-03 with Computers categories.
There is a paradigm shift in Informatics in general and in technologies enhancing human learning in particular. The debate between ‘the evolutionaries’ – those that wish to optimize and refine current approaches – and the ‘revolutionaries’ – those that support a fundamental change of approach – is quite actual. Within the Internet communities, the debate is hidden behind the words ‘semantic WEB’ versus ‘semantic Grid’; within educational technologists between ‘content / resource centered’ and ‘conversation centered’ e-learning, or either between ‘teaching’ and ‘pedagogy’ on the one side, and ‘learning’ and ‘communities of practice’ on the other. In general, in Informatics, the shift from a product-page oriented to a service-conversation oriented view may possibly impact most if not all the foreseen applications, in e-learning, but also in e-science, e-democracy, e-commerce, e-health, etc. Part A of the book is dedicated to position papers: visions about what to do and why to do it in the next years. The remaining parts (B to D) offer partial answers to ‘how’ to do it. Part B concerns what we called content-centered services, i.e.: a vision of learning systems that privileges knowledge and its structures, standards and their interoperability, storage and retrieval services. The subsequent part C is about holistic services to refer to more mature and integrated solutions that address not only content but more generally the creation and management of human Virtual Communities connected on the Grid in order to offer and consume different services facilitating and enhancing human learning. Finally part D is concerned with new directions in learning services.