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In hierarchical cluster analysis, the number of clusters can be deducted from visual inspection of the dendrogram, or from statistical measurement of large jumps in the similarity measure at each stage (e.g., pseudo-F and/or pseudo-T2 statistics) [ 34].
Field measurement of large objects is important in many fields of study.
Matsuda et al. suggested a holographic LSI system for the real-time measurement of large liquid surface deformations [18].
In order to in-situ measurement of large volume water samples, using of a portable HPGe detector was considered.
By repeating the above processes, the temperature field measurement of large hot cylindrical shell forging can be achieved.
To facilitate deformation measurement of large objects using stereo-DIC, a simple but practical technique is adopted for fabricating high-temperature speckle patterns on large measuring areas.
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A typical case is the straightness measurement of large-scale rails.
Prismatic measurement of large-angle strabismus requires the simultaneous use of two or more prisms for neutralization.
In view of the above mentioned facts, it is proposed to use the SIFT (scale-invariant feature transformation) algorithm for measurement of large-scale landslide displacement.
The development of optics and computer technologies enables the application of the vision-based technique that uses digital cameras to the displacement measurement of large-scale structures.
Experimental results show that the proposed algorithm can extract accurate displacement signal and accomplish the vibration measurement of large-scale structures.
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