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...
الحاوية / القاعدة: | Journal of Applied Science and Engineering |
---|---|
المؤلف الرئيسي: | Liu H.; Liu Y.; Zhang R.; Liu D.; Zhang Z. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Tamkang University
2021
|
الوصول للمادة أونلاين: | 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 |
مواد مشابهة
-
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
بواسطة: 2-s2.0-85102251664
منشور في: (2021) -
Hybrid embedded and filter feature selection methods in big-dimension mammary cancer and prostatic cancer data
بواسطة: 2-s2.0-85200038464
منشور في: (2024) -
Indonesia’s poverty puzzle: Chronic vs. transient poverty dynamics
بواسطة: 2-s2.0-85173868815
منشور في: (2023) -
Financial Subsidies, Tax Incentives, and Innovation Quality: Empirical Evidence from High-Tech Enterprises in Sichuan Province, China
بواسطة: Liu, وآخرون
منشور في: (2024) -
Improving clustering-based and adaptive position-aware interpolation oversampling for imbalanced data classification
بواسطة: Wang Y.; Rosli M.M.; Musa N.; Wang L.
منشور في: (2024)