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Updating the mean points.
The first process changes the position of vector data by randomly permuting the mean points of MCOs, the so-called position encryption.
Our algorithm compresses all vector data of polylines and polygons by lossless minimum coding object (MCO) units and perceptually encrypts using two processes using the mean points and directions of MCOs.
For given K central points (the mean points of the cluster samples), each sample is allocated in a cluster represented by the nearest mean point of its Euclidean distance, and the samples are divided into K clusters.
In the t iteration, a clustering ( {S}_i^{(t)} ) whose cluster center is ( {m}_i^{(t)} )can be represented as: {S}_i^{(t)}=left{{x}_p:{leftVert {x}_p-{m}_i^{(t)}rightVert}^2le {leftVert {x}_p-{m}_j^{(t)}rightVert}^2forall jlele jle kright} (10) (2) Updating the mean points.
In the joint analysis, each Affymetrix probe set was paired with the closest Agilent probe, measured as the distance between the mean points of the sequences.
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Set the mean point as an initial point and the required convergence tolerance ε = ± 0.00001.
The mean point in time at which follow-up failure occurred was 7.5 months after the initial preirradiation dental examination.
Furthermore, the direction from toward the mean point of the microphones (the camp) is used as initial shooting direction.
In the presented method, the variable space is divided into several disjoint subspace by n-dimensional coordinate planes at the mean point of the random vector, and the importance sampling functions in the subspaces are constructed by keeping the sampling center at the mean point and augmenting the standard deviation by a factor of λ.
The dual window operator is based on a criterion able to localize the mean point within the transition area between two uniform luminance areas [10].
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Justyna Jupowicz-Kozak
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