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F ( x ) is inductive with a finite number of maximal element clusters for every x ∈ P, then F has an order-clustered fixed point.
F ( x ) is inductive with a finite number of maximal element clusters, for every x ∈ P. A2″.
For each T s, data entries are collected from the clusters for every distance segment and every channel.
Once there are 10 clusters for every 5 min slice, clustering over the whole recording is performed to merge those clusters belonging to the same speakers.
In a given pair of clusters, for every pair of proteins (one from each cluster), we use the products of the weights of the two proteins as an estimate of the degree of orthology of the protein pair.
However, a study by Dudoit et al. showed that the gap statistic does not estimate the correct number of clusters for every case [ 38].
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Hence in EEUC-Q, there is a clustering for every five sampling periods (we define a sampling period as a round in this article).
F Clustering: for every F i there is a cluster c i ?C such that c i =p A (F i ) (that is, the active domain of F i on A is equal to a cluster in C) Threshold: for every a ?
In addition, once a clustering of SNPs is obtained, we design an individualized genetic score quantifying the SNP composition in each cluster for every subject, so that we can set up a generalized linear model for association analysis able to incorporate the information from a large-scale SNP dataset, and yet with a much smaller number of explanatory variables.
The agglomerative clustering method created one cluster for every peak list and calculated distances between clusters.
Clustering for every SNP was determined using the SolCAP cluster file [ 45].
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