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.
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.
C. Baldassi, 'Recombinator-k-means: A population based algorithm that exploits k-means++ for recombination', [Web link], 2019
Please refer to the Machine Learning Repository's citation policy