/DataMiningProject_PortoTaxiClustering

Class Project for the Data Mining (Big Data Context) course (6 ECTS). Objective: Facility location problem ("find the best places to place N facilities"). Solved with: Clustering, applying and implementing several techniques (i.e. K-Means, K-Median). Results analyzed via: Silhouette coefficient, Hopkins statistics, Objective Function. Dataset: GPS coordinates from the city of Porto, Portugal.

Primary LanguageJava

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