A Novel Supervised Clustering Algorithm for Transportation System Applications
نویسندگان
چکیده
منابع مشابه
SNN: A Supervised Clustering Algorithm
In this paper, we present a new algorithm based on the nearest neighbours method, for discovering groups and identifying interesting distributions in the underlying data in the labelled databases. We introduces the theory of nearest neighbours sets in order to base the algorithm S-NN (Similar Nearest Neighbours). Traditional clustering algorithms are very sensitive to the user-defined parameter...
متن کاملahp algorithm and un-supervised clustering in auto insurance fraud detection
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
15 صفحه اولSupervised Clustering: Algorithms and Applications
This work centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering assumes that the examples are classified and has the goal of identifying class-uniform clusters that have high probability densities. Three representative–based algorithms for supervised clustering are introduced: two greedy algorithms SRIDHCR and SPAM, and an e...
متن کاملA Novel Feature Selection Method using Evolving Supervised Clustering and Applications for Gene Expression Data Modeling
Many bioinformatics applications, such as the microarray gene expression data modeling, are characterized by a large number of variables (e.g. genes) and small number of samples. Finding the most suitable set of variables for the modeling task (e.g. classification, prediction, profiling) is an important procedure, as it will define to a greater extent the accuracy of the model and its applicabi...
متن کاملA Genetic Algorithm Approach for Semi-Supervised Clustering
A novel semi-supervised clustering algorithm is proposed that synergizes the benefits of supervised and unsupervised learning methods. Data are clustered using an unsupervised learning technique biased toward producing clusters as pure as possible in terms of class distribution. These clusters can then be used to predict the class of future points. For example in database marketing, this techni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Intelligent Transportation Systems
سال: 2020
ISSN: 1524-9050,1558-0016
DOI: 10.1109/tits.2018.2890588