Unsupervised Learning Algorithms


Unsupervised Learning Algorithms
ISBN-10 书号:3319242091
ISBN-13 书号:9783319242095
Edition 版次:1st ed. 2016
Release Finelybook 出版日期:2016-04-30
pages 页数:558 pages

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data,unsupervised learning algorithms,which can automatically discover interesting and useful patterns in such data,have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition,market basket analysis,web mining,social network analysis,information retrieval,recommender systems,market research,intrusion detection,and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection,clustering,feature extraction,and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.

下载地址隐藏内容1积分,请先!没有帐号? 注 册 一个!
觉得文章有用就打赏一下
未经允许不得转载:finelybook » Unsupervised Learning Algorithms

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就打赏一下

非常感谢你的打赏,我们将继续给力更多优质内容,让我们一起创建更加美好的网络世界!

支付宝扫一扫打赏

微信扫一扫打赏