Feature selection embedded cluster distribution position for characteristic analysis of multi-dimension poverty-stricken households in China
Poverty is a historical problem all over the world. Poverty alleviation targeted to the primary problems faced by the poverty-stricken households in different classes can effectively improve the efficiency of poverty reduction. Owing to the large number of features that reflect the poor situation of...
Published in: | Journal of Applied Science and Engineering |
---|---|
Main Author: | Liu H.; Liu Y.; Zhang R.; Liu D.; Zhang Z. |
Format: | Article |
Language: | English |
Published: |
Tamkang University
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104272052&doi=10.6180%2fjase.202106_24%283%29.0003&partnerID=40&md5=e502b3f72ac48700641a039b9c5346be |
Similar Items
-
A Clustering Algorithm via Density Perception and Hierarchical Aggregation Based on Urban Multimodal Big Data for Identifying and Analyzing Categories of Poverty-Stricken Households in China
by: Liu H.; Liu Y.; Zhang R.; Wu X.
Published: (2021) -
A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data
by: Liu H.; Liu Y.; Qin Z.; Zhang R.; Zhang Z.; Mu L.
Published: (2021) -
Hybrid embedded and filter feature selection methods in big-dimension mammary cancer and prostatic cancer data
by: Md Noh S.S.; Ibrahim N.; Mansor M.M.; Md Ghani N.A.; Yusoff M.
Published: (2024) -
Post-Epidemic Period Construction of Professional Identities of Elementary School Pre-Service Teacher Mentors in China
by: Jiang, et al.
Published: (2024) -
New parameter dimension of poverty modelling to improve FDI inflows in agriculture sector using fixed and random effects
by: Shafiai S.; Kharabsheh B.; El-Nader G.H.; Rashid I.M.A.; Samah I.H.A.; Borhanordin A.H.
Published: (2023)