Full paper (ACADEMIA)
Human Development Index (HDI) of Jawa Timur, Indonesia (Jawa Timur Indeks Pembangunan Manusia (IPM)) – Final Full Version
Abstract
Human Development Index (HDI) classification or clustering refers to application of machine learning techniques to study trends between variables of collected statistical data. In this paper we explore different classification and clustering methods to the dataset originally from survey to categorize geographical area (cities) based on four level of development. We use data from Badan Pusat statistiks of Indonesia 2004-2012; we use sample of 342 out of 22,366 full data. If you are looking about how machine learning techniques is used in social sciences then you are in the right track; we hope through this paper you will get to know the way out.
Method
KDD – knowledge discovery in databases
Classification
Clustering
Tools
MS Excel
Weka https://en.wikipedia.org/wiki/Weka_(machine_learning)
Matlab www.mathworks.com/products/matlab/
Full resources
https://drive.google.com/folderview?id=0B57EToBwLNp7a1BFa0loc3Roa2c&usp=sharing
Kholed Langsari 