Published: February 25, 2018
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By: Chenglin Ma, Cal Poly Pomona
This project is to study and practice K-means clustering algorithm in Python
Method and core implementation in this project includes clustering algorithm called K-means, and also two types of distance calculations, one is Euclidean, the other is Manhattan. For the user-friendly purpose, we also designed a graphic user interface (GUI), in order to increase the effectiveness of this project. Last but not least, we applied data reading method, which allows us read data in text file.