Clustering Techniques for Grouping Traffic Events
- Authors: Silvia Del Campo Romero1, Juan Jose Martinez Dura2, Jose Javier Samper Zapater3
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View Affiliations Hide Affiliations1 Researcher, LISITT/UVEG, Valencia,Spain 2 Director, LISITT/UVEG, Valencia, Spain 3 Researcher, LISITT/UVEG, Valencia, Spain
- Source: Mechatronics Series I - Intelligent Transportation Vehicles , pp 88-101
- Publication Date: September 2011
- Language: English
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Cluster analysis, also known as cluster analysis or numerical taxonomy, is the procedure by which observations of a data set are clustered in groups or clusters, so that the objects are homogeneous within the group and the groups are as heterogeneous as possible when compared between them. The main purpose of the chapter is to study the clustering techniques so as to find a suitable method for automatic grouping of traffic events in interurban scenarios. To achieve this goal, we must first take into account the stages of clustering techniques.
Hardbound ISBN:
9781608055432
Ebook ISBN:
9781608050819
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