Sentence examples for clusters to detect from inspiring English sources

The T test was then utilized among different clusters, to detect discrepancies in continuous parameters, including total charge, maximum charge, concrete age and distance between the explosion source and measuring point.

In a large proportion of the scenarios shown, we will have sufficient numbers of clusters to detect an effect.

Another probabilistic approach called Markov Clustering (Enright et al., 2002) used random walk and matrix transformations on a given distance matrix to form clusters to detect protein families.

Nevertheless, finding the optimal solution of the fewest clusters to detect all targets is an NP complete problem, so for large data sets we use a greedy algorithm to find a small number of clusters that together should pick up all targets.

This paper proposes a multiple-level hybrid classifier, a novel intrusion detection system, which combines the supervised tree classifiers and unsupervised Bayesian clustering to detect intrusions.

Here we apply a graph clustering algorithm based on clique percolation clustering to detect overlapping network modules of a protein protein interaction (PPI) network.

ConStream uses a method during the clustering to detect novel micro-clusters and outliers which is time consuming (trend setter and mature cluster) because of applying fading function during the stream clustering [27].

The proposed method characterized the role of the interaction of the community via the role that community networks play to identify the scenes in the movie through human face clustering to detect and cluster faces of the characters.

In this paper, we introduce DayFilter, a day-typing process that uses Symbolic Aggregate approXimation (SAX), motif and discord extraction, and clustering to detect the underlying structure of building performance data.

On the other hand, the Jaccard index between the two samples was 0.14, a possible indication that such a method is less powerful than clustering to detect biologically relevant similarity.

Briefly, RNAPII bins were thresholded for USHP slope scores and clustered to detect regions of positive or negative USHP slopes.