Sentence examples for multiple clustering algorithms from inspiring English sources

Exact(12)

Multiple clustering algorithms are evaluated in the proposed system with respect to system performance and accuracy.

In contrast, the end to end framework presented in this paper successfully integrates Hadoop and Mahout to provide a fully functional end to end solution that addresses a real world problem, facilitating the streamlining of call centre operations and evaluating multiple clustering algorithms in terms of timeliness and accuracy.

Dissimilarity matrices were imported into the R environment (39) and analysed by multiple clustering algorithms.

Multiple clustering algorithms exist and the simple yet effective Hierarchical Clustering (HC) method is adopted in our work.

Thus, voting helps to increase precision by giving greater scores to those clusters predicted by multiple clustering algorithms.

We also propose a simple aggregative clustering strategy that combines clusters generated by multiple clustering algorithms, using simple voting.

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Similar(48)

For such analyses, some advanced clustering approaches have been suggested, for example the utility of transcriptional consensus clusters derived from multiple cluster algorithms [8], or incorporation of prior knowledge of gene function [9].

For the purposes of this paper, the partitions were generated by a single run of multiple individual clustering algorithms (single-linkage, complete linkage, average linkage, weighted average distance, Ward and K-means methods).

Figure 4a shows how clusters from the COMBINED strategy are distributed among any single or multiple number of clustering algorithms that generated them, as well as their precision (the percentage of clusters that match test complexes), in yeast.

And on this basis, Stability of Complex as a new criterion and Optimized Multiple-Templates Clustering algorithm are introduced to improve the accuracy.

In previous work we found three robust subtypes in both DLBCL-A and DLBCL-B using resampling-based multiple clustering trials and three different clustering algorithms [7], [9].

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