Feature and Dimensionality Reduction for Clustering with Deep Learning(Unsupervised and Semi-Supervised Learning)

基于深度学习的聚类特征与降维

工业工程学

原   价:
1326.25
售   价:
1061.00
优惠
平台大促 低至8折优惠
发货周期:国外库房发货,通常付款后3-5周到货!
作      者
出  版 社
出版时间
2024年01月03日
装      帧
精装
ISBN
9783031487422
复制
页      码
268
开      本
9.21 x 6.14 x 0.69
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 30 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and ’tricks’ participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by “family” to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个