Learning From Clusters
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Machine Learning Techniques For Multimedia
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Author : Matthieu Cord
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-07
Machine Learning Techniques For Multimedia written by Matthieu Cord and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-07 with Computers categories.
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques does not always apply. This book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain. Arising from the EU MUSCLE network, a program that drew together multidisciplinary teams with expertise in machine learning, pattern recognition, artificial intelligence, and image, video, text and crossmedia processing, the book first introduces the machine learning principles and techniques that are applied in multimedia data processing and analysis. The second part focuses on multimedia data processing applications, with chapters examining specific machine learning issues in domains such as image retrieval, biometrics, semantic labelling, mobile devices, and mining in text and music. This book will be suitable for practitioners, researchers and students engaged with machine learning in multimedia applications.
Clustering Algorithms
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Author : John Hartigan
language : en
Publisher:
Release Date : 1975
Clustering Algorithms written by John Hartigan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Cluster analysis categories.
Artificial Intelligence In Data Mining
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Author : D. Binu
language : en
Publisher: Academic Press
Release Date : 2021-02-17
Artificial Intelligence In Data Mining written by D. Binu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Science categories.
Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. - Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering - Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks - Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense
Clusters And Regional Development
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Author : Bjorn Asheim
language : en
Publisher: Routledge
Release Date : 2006-09-27
Clusters And Regional Development written by Bjorn Asheim and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-27 with Business & Economics categories.
Using international examples, leading scholars present the first critical analysis of cluster theory, assessing the cluster notion and drawing out, not only its undoubted strengths and attractions, but also its weaknesses and limitations. Over the past decade the ‘cluster model’ has been seized on as a tool for promoting competitiveness, innovation and growth on local, regional and national scales. However, despite its popularity there is much about it that is problematic, and in some respects the rush to employ ‘cluster ideas’ has run ahead of many fundamental conceptual, theoretical and empirical questions. Addressing key questions on the nature, use and effectiveness of cluster models, Clusters and Regional Development provides the missing thorough theoretical and empirical evaluation.
Cluster Analysis And Applications
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Author : Rudolf Scitovski
language : en
Publisher: Springer Nature
Release Date : 2021-07-22
Cluster Analysis And Applications written by Rudolf Scitovski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Computers categories.
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods, Cluster Analysis and Applications also includes coverage of deep learning based clustering methods. With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or data science.
Designing For Modern Learning
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Author : Crystal Kadakia
language : en
Publisher: Association for Talent Development
Release Date : 2020-06-30
Designing For Modern Learning written by Crystal Kadakia and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Business & Economics categories.
Meet Learning Needs With New Tools and New Thinking Learning is no longer an activity or luxury that only occurs at specific stages in your life or career. With the digital revolution, learning has become immediate, real-time, and relevant whether you’re young, old, in the workforce, in school, or at home. As a learning and development professional, you’ve likely confronted the digital learning revolution armed with instructional design models from the pre-digital world. But today’s digital universe has a new model to address its wealth of new technologies and a new philosophy of learning experience design: learning cluster design. Designing for Modern Learning: Beyond ADDIE and SAM offers you and your learners a new way to learn. It describes the fundamental shift that has occurred in the nature of L&D’s role as a result of the digital revolution and introduces a new five-step model: the Owens-Kadakia Learning Cluster Design Model (OK-LCD Model), a new five-step model for training design that meets the needs of modern learning. The model’s five steps or actions are an easy-to-follow mnemonic, CLUSTER: Change on-the-job behavior Learn learner-to-learner differences Upgrade existing assets Surround learning with meaningful assets Track transformation of Everyone’s Results. In each chapter, the authors share stories of business leaders, L&D professionals, and learners who have successfully adopted the OK-LCD Model, detailing how they altered organizational mindsets to meet the needs of modern learners and their organizations. Included are how-to features, tools, tips, and real-life “in practice” sections. This is an exciting time to be in L&D. It’s time to join the revolution.
Data Analytics In Bioinformatics
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Author : Rabinarayan Satpathy
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-20
Data Analytics In Bioinformatics written by Rabinarayan Satpathy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Computers categories.
Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Algorithms For Fuzzy Clustering
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Author : Sadaaki Miyamoto
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-15
Algorithms For Fuzzy Clustering written by Sadaaki Miyamoto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Computers categories.
Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.
Practical Guide To Cluster Analysis In R
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Author : Alboukadel Kassambara
language : en
Publisher: STHDA
Release Date : 2017-08-23
Practical Guide To Cluster Analysis In R written by Alboukadel Kassambara and has been published by STHDA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-23 with Education categories.
Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.
Enrichment Clusters
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Author : Joseph S. Renzulli
language : en
Publisher: Routledge
Release Date : 2021-09-03
Enrichment Clusters written by Joseph S. Renzulli and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Education categories.
Enrichment clusters engage students and facilitators in student-driven, real-world learning experiences. Grouped by interest, students working like practicing professionals apply advanced content and methods to develop products and services for authentic audiences. Clusters are scheduled during the school day over an extended period of time and involve all students. This updated second edition of Enrichment Clusters provides the rationale for including this important enrichment program for all students, suggestions for creating buy-in, and a step-by-step guide for successful implementation of a self-sustaining enrichment cluster program within the context of specific schools. Included are staff development activities, suggestions for evaluation and program improvement, guidelines for developing high quality cluster experiences for teachers and students, suggested resources, and everything one needs to develop, implement, and sustain a top-quality enrichment cluster program.