<p><p>This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc.</p><p></p><p>The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Unders
Modern Algorithms of Cluster Analysis
β Scribed by Slawomir Wierzchon, Mieczyslaw Klopotek
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 433
- Series
- Studies in Big Data 34
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Computers & Technology;Industries;Business & Money;Intelligence & Semantics;AI & Machine Learning;Computer Science;Computers & Technology;Data Processing;Databases & Big Data;Computers & Technology;Applied;Biomathematics;Differential Equations;Game Theory;Graph Theory;Linear Programming;Probability & Statistics;Statistics;Stochastic Modeling;Vector Analysis;Mathematics;Science & Math;Business & Finance;Accounting;Banking;Business Communication;Business Development;Business Ethics;Business Law;Ec
π SIMILAR VOLUMES
Paper, 9 p.<br/>The paper deals with the cluster analysis and genetic algorithms and describes their basis. The application of genetic algorithms is focused on a cluster analysis as an optimization task. The case studies present the way of solution of two and three dimensional cluster analysis in MA
Department of Computing Imperial College of Science, Technology and Medicine<br/>University of London, London SW7 2AZ.<br/>A dissertation submitted in partial fulfilment of the requirements<br/>for the degree of Doctor of Philosophy of the University of London.<div class="bb-sep"></div>Abstract<br/>
<p>This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learni
Physica Verlag, 1985. β 134 p.<div class="bb-sep"></div>The objectives of this monograph are as follows: to collect together important recent algorithmic results in the area of cluster analysis; to indicate algorithms which may be of importance in parallel computing environme~ts; to include (unlike