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Our data clustering algorithm is monotonic sequence based.
However, the data clustering algorithm takes from 3 to 5 s.
The data clustering algorithm compares the data obtained with the set of clusters.
Figure 10 PUE detection results in a network with 200 nodes using data clustering algorithm.
However, in the data clustering algorithm, the variable parameter is the initial cluster radius.
In this paper, we apply a fuzzy relational data clustering algorithm to form part families and machine groups.
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Most quantization methods are essentially based on data clustering algorithms.
Here, we couple this dimension reduction technique with data clustering algorithms that are specially designed for high dimensional cases.
However, as is the case with most data clustering algorithms, the algorithm requires a pre-setting or random selection of initial points (modes) of the clusters.
This study explored the potential of combining point cloud data (PCD) and data clustering algorithms for textural damage detection of commonly seen structural elements in Taiwan.
Categorical data clustering algorithms, in contrast to numerical ones, are still in their infancy despite some algorithms have been proposed in the literature.
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