Sentence examples for output clusters from inspiring English sources

The final output clusters are stored in a result file.

The input is clusters (mathbb {C}), and the specified number of output clusters is k.

There are input, hidden, and output clusters, where each cluster contains one or more neurons.

We treat them as seed clusters and put them into output clusters (mathbb {R}) (line 1).

Its disadvantage is that the output clusters could not reflect the real structure of the mapping in the output space.

Table 1 Definitions of symbols used in Algorithm 1 Symbol Definition (mathbb {C}) Input cluster set k Specified number of output clusters (mathbb {R}) Output cluster set (top_k_clusters(mathbb {C}, k)) Top-k clusters (in mathbb {C}) (inner_edges(c)) Inner edges of cluster c neighbors(c) Adjacent clusters of cluster c (cut_edges(n, m)) Cut edges between cluster n and m.

Output: cluster configuration.

In these algorithms, a learning rate is used as a fuzzy membership value of the current input vector in the output cluster.

Due to the relevance of the results' implications, special care needs to be taken regarding the impact of errors in input adjacency matrices on the output clustering results.

According to historical load data and the probability distribution of distributed generation output, clustering methods based on K-means and discretization methods are employed to obtain typical scenarios representative of uncertainties.

The relative abundance of each sample in a cluster was used to create an abundance matrix using the output cluster files from the CD-HIT program, the files containing the original fasta sequences and headers for each sample (abundanceMatrix-twoStep.pl).