"Less word, More impact"

This project analyzes NOAA storm data from 1950 to 2011 to identify which weather events cause the most harm to public health and the economy. Using R, the data is processed and summarized with tables and plots to inform disaster preparedness efforts.

Tugas Data Mining M. Ihsan Silmi Kaffah (222212712) - 3SD2 Setelah UTS: 1. Partitioning Based Clustering: K-Means 2. Hierarchical Clustering: Single linkage, Complete linkage, Average linkage, Ward Linkage 3. Fuzzy Clustering: Fuzzy C-Means 4. Clustering DBSCAN & Optics: package 'dbscan' dan 'fpc' 5. Association Rules: 'arules' package 6. Neural Netwok: 'nnet' package

An illustration of matching with replacement and without replacement on STATA.