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Thirty two households were sampled from each of the 30 sampled EA (clusters) from each state.
The hierarchical cluster analysis of data using phenotypic distances resulted in 25 clusters, from each cluster, ∼10% or a minimum of one accession was selected to form a mini core, which comprised of 35 accessions.
The system also keeps track of the f nearest clusters from each test example, and it uses a combining scheme that checks for an agreement between k-means and ID3 labeling.
Therefore, in order to obtain a cluster center set with clearly distinct behaviors to seed the k-means algorithm in the next step, we manually grouped the cluster centers based on the similarity between them (Euclidian distance) and eliminate the centers of the less descriptive clusters from each group.
Following Lemmas 1 and 2, we could make the following important observation; that is when M ≥ 2Ncl, i.e., the number of antennas at the receivers is not less than two times of the number of channel clusters from each user, the validity of our method is guaranteed with L satisfying the condition in (25).
A preliminary analysis has been run on 53,215 5' reads corresponding to 11 subsets of 3466 to 9624 clones and 880 to 3280 cDNA clusters from each library.
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The aflatoxin gene cluster from each assembled genome was extracted using the published aflatoxin gene cluster of A. flavus AF13 as a reference (Ehrlich et al. 2005) through BLAST alignment.
Comparing the scores for importance and feasibility, a significant difference was found for one cluster from each region (cluster 2, 5, 6).
Each scan test can identify more than one significant cluster [ 9], but for simplicity of presentation, we consider here only the most significant cluster from each scan test.
Differences between samples are revealed by comparing, for each cluster from each sample, both the numbers of events and the multidimensional medians.
We furthermore determined the relative shape change for each significant cluster from each comparison in every patient and investigated correlations with clinical variables.
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