Neuroinformatics approach: Hierarchical cluster analysis of indonesian provinces based on people's welfare indicators in the realm of data science and network studies
The welfare of people has always piqued our interest, and it remains the primary goal of nations around the world in their development endeavors. To effectively drive development efforts, it is critical to understand the diverse welfare features that exist in different locations. Thus, the...
Main Authors: | Restu Arisanti, Aissa Putri Pertiwi, Sri Winarni, Resa Septiani Pontoh |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2024-01-01
|
Series: | International Journal of Data and Network Science |
Online Access: | http://www.growingscience.com/ijds/Vol8/ijdns_2024_16.pdf |
Similar Items
-
Image Feature Extraction Using Symbolic Data of Cumulative Distribution Functions
by: Sri Winarni, et al.
Published: (2024-07-01) -
Negative binomial mixed model neural network for modeling of pulmonary tuberculosis risk factors in West Java provinces
by: Restu Arisanti, et al.
Published: (2023-01-01) -
Assessing service availability and accessibility of healthcare facilities in Indonesia: A spatially-informed correspondence analysis with visual approach
by: Restu Arisanti, et al.
Published: (2023-01-01) -
Neuroinformatics /
by: Crasto, Chiquito Joaquim, 1967-
Published: (2007) -
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”
by: Xin Li, et al.
Published: (2022-09-01)