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To filter out this noisy behavior, the involved cells can be clustered by a sandwich clustering method [26].
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Instead, data must be clustered by an external program, such as inchlib_clust (see the 'inchlib_clust' paragraph) and then passed into InCHlib either as a JavaScript variable or as a file stored in the InCHlib input format.
Next, we design the clustered groups algorithm (CGA), which accelerates top-k groups processing for the case where data is clustered by a subset of group-by attributes.
In the first step, 30 50 years observed daily values of Tmax, Tmin, Tmean, spread between Tmin and Tmax and the duration of daylight are clustered by a non hierarchical cluster analysis.
The HMM states were clustered by a phonetic decision tree.
Lags between boundaries are clustered by a decision tree in the same manner used for clustering spectral, fundamental frequency, and duration parameters in HMM synthesis.
In [18], coherent generators and load buses are clustered by a modified k-means technique, which employs the distance between the load bus and the centroid of a coherent group.
Expression microarrays (normalized data) were clustered by a hierarchical clustering algorithm by using an average linkage method in GeneSpring.
In the first step the data was clustered by a top-down clustering algorithm that can handle large data sets at relatively short computation time.
The genome-wide expression profiles of each individual (variables), both AF and control subjects, were clustered by a divisive clustering algorithm based on Oblique Principal Component Analysis (OPCA, [19]).
Genes are clustered by a k-means algorithm into 6 groups.
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