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DBSCAN

This reposetory contains a simple implementation of DBSCAN algorithm using GNU OCTAVE.

DBSCAN is a popular clustering algorithm. It creates clusters on a spatial data depending on two parameters:

  1. MinPoints: minimum number of points needed in its neighbourhood to consider it as a valid data(not noise).

  2. EPS: A distance on which neighbourhood is calculated.

For more info:

https://en.wikipedia.org/wiki/DBSCAN

http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1A6A7A85AF3F43BCBF66D847FEC8F8C5?doi=10.1.1.121.9220&rep=rep1&type=pdf

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DBSCAN implementation using GNU OCTAVE

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