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UrbanGB 城市中心数据集标注的城市道路事故坐标

UrbanGB 城市中心数据集标注的城市道路事故坐标

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Computer Clustering

Coordinates data obtained by filtering the dataset at https://www.kaggle.com/daveianhickey/2000-16-traffic-flow-england-......

数据结构 ? 2.96M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    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

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