Graph Based Clustering And Data Visualization Algorithms PDF Download

Graph Based Clustering and Data Visualization Algorithms PDF
Author: Ágnes Vathy-Fogarassy
Publisher: Springer Science & Business Media
ISBN: 1447151585
Size: 70.95 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 110
View: 1529

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Graph Based Clustering And Data Visualization Algorithms Book Description:

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes clustering and visualization methods that are able to utilize information hidden in these graphs, based on the synergistic combination of clustering, graph-theory, neural networks, data visualization, dimensionality reduction, fuzzy methods, and topology learning. The work contains numerous examples to aid in the understanding and implementation of the proposed algorithms, supported by a MATLAB toolbox available at an associated website.

Euro Par 2015 Parallel Processing Workshops PDF Download

Euro Par 2015  Parallel Processing Workshops PDF
Author: Sascha Hunold
Publisher: Springer
ISBN: 3319273086
Size: 32.20 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 839
View: 6008

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Euro Par 2015 Parallel Processing Workshops Book Description:

This book constitutes the thoroughly refereed post-conference proceedings of 12 workshops held at the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, in Vienna, Austria, in August 2015. The 67 revised full papers presented were carefully reviewed and selected from 121 submissions. The volume includes papers from the following workshops: BigDataCloud: 4th Workshop on Big Data Management in Clouds - Euro-EDUPAR: First European Workshop on Parallel and Distributed Computing Education for Undergraduate Students - Hetero Par: 13th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms - LSDVE: Third Workshop on Large Scale Distributed Virtual Environments - OMHI: 4th International Workshop on On-chip Memory Hierarchies and Interconnects - PADAPS: Third Workshop on Parallel and Distributed Agent-Based Simulations - PELGA: Workshop on Performance Engineering for Large-Scale Graph Analytics - REPPAR: Second International Workshop on Reproducibility in Parallel Computing - Resilience: 8th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids - ROME: Third Workshop on Runtime and Operating Systems for the Many Core Era - UCHPC: 8th Workshop on UnConventional High Performance Computing - and VHPC: 10th Workshop on Virtualization in High-Performance Cloud Computing.

Data Clustering Theory Algorithms And Applications Second Edition PDF Download

Data Clustering  Theory  Algorithms  and Applications  Second Edition PDF
Author: Guojun Gan
Publisher: SIAM
ISBN: 1611976332
Size: 69.23 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 430
View: 7657

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Data Clustering Theory Algorithms And Applications Second Edition Book Description:

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Graph Theoretic Techniques For Web Content Mining PDF Download

Graph theoretic Techniques for Web Content Mining PDF
Author: Adam Schenker
Publisher: World Scientific
ISBN: 9789812569455
Size: 16.42 MB
Format: PDF
Category : Computers
Languages : en
Pages : 249
View: 5805

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Graph Theoretic Techniques For Web Content Mining Book Description:

This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.

Principal Manifolds For Data Visualization And Dimension Reduction PDF Download

Principal Manifolds for Data Visualization and Dimension Reduction PDF
Author: Alexander N. Gorban
Publisher: Springer Science & Business Media
ISBN: 3540737502
Size: 16.26 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 340
View: 1116

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Principal Manifolds For Data Visualization And Dimension Reduction Book Description:

The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described. Presentation of algorithms is supplemented by case studies. The volume ends with a tutorial PCA deciphers genome.

Biological Data Mining In Protein Interaction Networks PDF Download

Biological Data Mining in Protein Interaction Networks PDF
Author: Li, Xiao-Li
Publisher: IGI Global
ISBN: 1605663999
Size: 45.62 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 450
View: 2128

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Biological Data Mining In Protein Interaction Networks Book Description:

"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.