|
Showing 1 - 3 of
3 matches in All Departments
This book provides the reader with a basic understanding of the
formal concepts of the cluster, clustering, partition, cluster
analysis etc. The book explains feature-based, graph-based and
spectral clustering methods and discusses their formal similarities
and differences. Understanding the related formal concepts is
particularly vital in the epoch of Big Data; due to the volume and
characteristics of the data, it is no longer feasible to
predominantly rely on merely viewing the data when facing a
clustering problem. Usually clustering involves choosing similar
objects and grouping them together. To facilitate the choice of
similarity measures for complex and big data, various measures of
object similarity, based on quantitative (like numerical
measurement results) and qualitative features (like text), as well
as combinations of the two, are described, as well as graph-based
similarity measures for (hyper) linked objects and measures for
multilayered graphs. Numerous variants demonstrating how such
similarity measures can be exploited when defining clustering cost
functions are also presented. In addition, the book provides an
overview of approaches to handling large collections of objects in
a reasonable time. In particular, it addresses grid-based methods,
sampling methods, parallelization via Map-Reduce, usage of
tree-structures, random projections and various heuristic
approaches, especially those used for community detection.
This book provides the reader with a basic understanding of the
formal concepts of the cluster, clustering, partition, cluster
analysis etc. The book explains feature-based, graph-based and
spectral clustering methods and discusses their formal similarities
and differences. Understanding the related formal concepts is
particularly vital in the epoch of Big Data; due to the volume and
characteristics of the data, it is no longer feasible to
predominantly rely on merely viewing the data when facing a
clustering problem. Usually clustering involves choosing similar
objects and grouping them together. To facilitate the choice of
similarity measures for complex and big data, various measures of
object similarity, based on quantitative (like numerical
measurement results) and qualitative features (like text), as well
as combinations of the two, are described, as well as graph-based
similarity measures for (hyper) linked objects and measures for
multilayered graphs. Numerous variants demonstrating how such
similarity measures can be exploited when defining clustering cost
functions are also presented. In addition, the book provides an
overview of approaches to handling large collections of objects in
a reasonable time. In particular, it addresses grid-based methods,
sampling methods, parallelization via Map-Reduce, usage of
tree-structures, random projections and various heuristic
approaches, especially those used for community detection.
This volume contains articles accepted for presentation during The
Intelligent Information Systems Symposium I1S'2000 which was held
in Bystra, Poland, on June 12-16, 2000. This is ninth, in the
order, symposium organized by the Institute of Computer Science of
Polish Academy of Sciences and devoted to new trends in (broadly
understood) Artificial Intelligence. The idea of organizing such
meetings dates back to 1992. Our main in tention guided the first,
rather small-audience, workshop in the series was to resume the
results gained in Polish scientific centers as well as contrast
them with the research performed by Polish scientists working at
the uni versities in Europe and USA. This idea proved to be
attractive enough that we decided to continue such meetings. As the
years went by, the workshops has transformed into regular symposia
devoted to such fields like Machine Learning, Knowledge Discovery,
Natural Language Processing, Knowledge Based Systems and Reasoning,
and Soft Computing (Le. Fuzzy and Rough Sets, Bayesian Networks,
Neural Networks and Evolutionary Algorithms). At present, about 50
papers prepared by researches from Poland and other countries are
usually presented. Besides, for several years now, the symposia are
accompanied by a number of tutorials, given by the outstanding
scientists in their domain. Up to this year the proceedings were
published as our local publication and they were distributed among
the scientific libraries. We feel however, that the subject matter
as well as the quality of papers is sufficient to present the
proceedings to a broader scientific audience."
|
You may like...
Higher
Michael Buble
CD
(1)
R487
Discovery Miles 4 870
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|