Unsupervised feature extraction applied to bioinformatics a PCA based and TD based approach /
This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because un...
| Main Author: | Taguchi, Yoshihiro, 1961- |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2020]
Cham : [2020] |
| Physical Description: |
1 online resource (329 pages). |
| Series: |
Unsupervised and semi-supervised learning.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |