Sentence examples for evaluation of clusters from inspiring English sources

The evaluation of randomly generated clusters of proteins is also carried out to see how meaningful the evaluation of clusters predicted from the original PPIs is.

The evaluation of clustering algorithms is intrinsically difficult because of the lack of objective measures.

Since the evaluation of clustering algorithms normally involves multiple criteria, it can be modeled as a multiple criteria decision making (MCDM) problem.

After evaluation of cluster centroids by the user, the other members of each cluster were scored based on their similarity to the cluster centroid.

ESEM and EDS carried out by a Hitachi S4160 instrument to see the morphology, evaluation of cluster size and metal composition of the catalyst.

Table 5 shows the evaluation of clustering results of PMR-Transitive according to the purity, the NMI, and the ARI metrics.

The evaluation of cluster solutions, which involves establishing the optimal number of clusters, as well as the quality of the grouping, has been the subject of continuing research since the early papers [30,31].

Table 5 Evaluation of clustering results of PMR-Transitive according to the purity, NMI, and ARI metrics Data set Purity NMI ARI Soybean 0.97 0.95 0.78 Zoo 0.91 0.85 0.88 Mushroom 0.96 0.96 0.96.

Given its potential, a large number of research studies focus on several aspects of cluster analysis; for instance, clustering algorithms and extensions for particular data type [31], dissimilarity (or distance) metric [32], optimal cluster number [33], relevance of data attributes per cluster [34], evaluation of clustering results [35], and cluster ensembles [36].

One is that their work lacks independent evaluation of clustering.

Thus, the evaluation of clustering results is an essential task in cluster analysis.