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Implementation of k-means task by DBSCAN with focus on noise reduction

MPL-2.0 license

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.gitignore		.gitignore
DBSCAN2.R		DBSCAN2.R
DBSCANplot.png		DBSCANplot.png
LICENSE		LICENSE
README.md		README.md
clustering-student-mat.csv		clustering-student-mat.csv
sixthnearestneighbor.png		sixthnearestneighbor.png

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dbscan-sixthnearestneighbor

Implementation of k-means task by DBSCAN with focus on noise reduction

Tasks

Determine suitable eps value.
Display clustering result in a SP.
Highlight cluster assignments and noise points in color.
Compare & discuss the results with that of k-means

Sixth nearest neighbor

Cluster analysis

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Implementation of k-means task by DBSCAN with focus on noise reduction

ggplot2 dplyr stringr tibble tidyr purrr readr forcats

MPL-2.0 license

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