| Modern Algorithms of Cluster Analysis (Springer) |
| Monday, 17 June 2019 | |||
|
This book provides a basic understanding of the formal concepts of the cluster, clustering, partition, and cluster analysis. Authors Slawomir Wierzchoń and Mieczyslaw Klopotek explain feature-based, graph-based and spectral clustering methods and discuss their formal similarities and differences. They also provide an overview of approaches to handling large collections of objects in a reasonable time, including grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches. <ASIN: 3319887521> Author: Slawomir Wierzchoń and Mieczyslaw Klopotek
For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.
For more Book Watch just click. Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed. To have new titles included in Book Watch contact BookWatch@i-programmer.info Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
|