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Winning Submission. Identifying sparse spam account vectors through K-means clustering and neighbour density analysis.

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ArthurRab/HTN2018-KikDataScienceChallenge

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HTN2018-KikDataScienceChallenge

Identifying sparse spam account vectors through K-means clustering and neighbour density analysis

This was the winning model for the competition

Devpost: https://devpost.com/software/kik-data-science-challenge

Created by: Robert Graham-Hu, Saminul Haque, Robbie Meyer, Arthur Rabinovich

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Winning Submission. Identifying sparse spam account vectors through K-means clustering and neighbour density analysis.

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