Unsupervised Indonesia's Corruption Perception Index using Public Participation Dataset

This is a Dataset for Unsupervised Learning Created for my Journal About Comparison of Machine Learning Models for Clustering and Key Feature Identification with Anomaly Detection in Indonesia's Corruption Perception Index (ICPI) Using Public Participation Data. It Consists of:• 514 Cities in Indonesia• Corruption Score for Each City• Age• Income (Range from Rp.1000.000,- to Rp.20.000.001,-)• Education (SD, SMP, SMA, Diploma, S1, S2, S3)• Occupation (PNS, Swasta, Wirausaha, Mahasiswa, Tidak Bekerja)• 10 Survey Questions (Q1–Q10) (Range from 1-10, Worst-Great)• 1000 samples