Sentence examples for historical clusters from inspiring English sources

The algorithm identified some historical clusters related to substandard products, which were later able to be confirmed in the literature or by contact with national centres (NCs).

The algorithm was applied to VigiBase®, the World Health Organization's (WHO's) global individual case safety report (ICSR) database, and managed to identify examples of historical clusters that were subsequently confirmed as being related to substandard medicinal products by the countries concerned [ 5].

Based on the historical cluster belonging information, gain is defined as follows.

The gain based on the followed number and the historical cluster belonging information is helpful in improving cluster stability.

Meanwhile, when maintaining cluster structure, the neighborhood follow strategy also considers the gain based on the historical cluster belonging information.

The neighborhood follow strategy considers relative mobility, gain based on the number of followers, and gain based on the historical cluster belonging information.

The neighborhood follow strategy is presented after defining two following gains, which are based on the number of followers and the historical cluster belonging information, respectively.

This indicates that TII-KT-CM features more comprehensive knowledge learning capability than TI-KT-CM and TII-KT-CM consequently exhibits more perfect cross-domain clustering performance and (4) neither the historical cluster centroids nor the historical cluster centroid based fuzzy memberships involved in TI-KT-CM or TII-KT-CM can be inversely mapped into the raw data.

Definition 5 (gain based on the historical cluster belonging information) Vehicle x is likely to follow one target that belongs to the same cluster in which its previous target also belong to.

The first step in this new procedure is to examine the degree of non-independence, the within and between trip variability, and the effective sample sizes of historical cluster samples to identify factors that influence sampling efficiency.

Thus, when deciding whether it should follow vehicle PktDelay x,y  = Now − TT y, vehicle x considers three factors, namely, the relative mobility with y (RelM x,y ), the current number of followers of y (fc y ), and the historical cluster belonging information of y.