Coordinates data obtained by filtering the dataset at https://www.kaggle.com/daveianhickey/2000-16-traffic-flow-england-scotland-wales/data.
Raw data originally available from https://www.dft.gov.uk/traffic-counts, released under the Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).
Filtering and labelling performed by Carlo Baldassi, Bocconi University (carlo.baldassi '@' unibocconi.it), licenced under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).

Data Set Information:

Please see the included README.md file for details on the contents, format and purpose of the dataset, and the procedure used to create it.

Attribute Information:

The input data contains geographical coordinates in the ranges [-5.55599, 1.75834] (longitude) and [50.0797, 57.6956] (latitude). It is advisable to scale the longitude down by a factor of 1.7 for the purpose of geographical clustering.
The labels are provided in a separate file (one label per entry, ranging from 1 to 469).
The centroids (barycenters of each partition) are also provided, in a separate file.
See the included README.md file for further details.

Relevant Papers:

C. Baldassi, 'Recombinator-k-means: A population based algorithm that exploits k-means++ for recombination', [Web link], 2019

Citation Request:

Please refer to the Machine Learning Repository's citation policy