Global ETD Search
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Showing 1 to 3 of 3 for “"Gap statistic"”.
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Classification and repeatability studies of transient electromagnetic measurements with respect to the development of CO2-monitoring techniques
… changes in the measured data are small, suitable statistical methods are needed. In this thesis, a new statistical workflow based on cluster analysis is proposed to detect similar transient electromagnetic signals. The similarity criteria dynamic time warping, the autoregressive distance, and the …
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Methods of Determining the Number of Clusters in a Data Set and a New Clustering Criterion
In cluster analysis, a fundamental problem is to determine the best estimate of the number of clusters, which has a deterministic effect on the clustering results. However, a limitation in current applications is that no convincingly acceptable solution to the best-number-of-clusters problem is …
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Inductive Monitoring Systems: A CubeSat Ground-Based Prototype
… using three data mining algorithms: the gap statistic method to find the optimal number of clusters, the K-means++ algorithm to initialize the centroids, and the K-means algorithm to partition the data vectors into the appropriate clusters. The monitoring algorithm employed the nearest …