A data clustering application that uses Dbscan algorithm
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This project made as a class assignment.It's purpose basically clustering unlabeled data using Dbscan algorithm.
Features:
- You can cluster any given data in csv format
- You can visualize clustered data in 2-dimension however you like
- You can see which data point is in which cluster by clicking the point in the chart
- You can print results in a txt file
Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg Sander and Xiaowei Xu in 1996. It is a density-based clustering non-parametric algorithm: given a set of points in some space, it groups together points that are closely packed together (points with many nearby neighbors), marking as outliers points that lie alone in low-density regions (whose nearest neighbors are too far away).
To get a local copy up and running follow these simple steps.
- Clone the repo
git clone https://github.com/izzettunc/dbscan.git-
Open DBScan.sln with Visual Studio
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Make changes, run it, use it whatever you like 😄
Application made in turkish which is my mother tongue.So here is some unneeded screenshots for how to use it
See the open issues for a list of proposed features (and known issues).
Distributed under the MIT License. See LICENSE for more information.
İzzet Tunç - izzet.tunc1997@gmail.com
