Deep learning method based on feature clustering
A deep learning and clustering technology, applied in the field of deep learning based on feature clustering, can solve the problem of low correlation of independent variables and achieve the effects of improving accuracy, low calculation and storage pressure, and reducing training time
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Examples
Embodiment Construction
[0030] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the examples, which are only used to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.
[0031] A deep learning method based on feature clustering, comprising the following steps:
[0032] Step 1: Based on a specific data set, select the most important characteristic variables in the specific data set, and the characteristic variables can be selected by the correlation method;
[0033] Step 2: Perform data preprocessing on the selected feature variables, including data scaling, data transformation, and data dimensionality reduction processing. The data scaling process is: convert the acquired feature variables in proportion, and compress the converted feature variables Between (0,1), data transformation adopts discrete wavelet transform;
[0034] Step 3: Calculate the c...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com