Sentence examples for line clusters from inspiring English sources

In addition to using the K-means algorithm to form appropriate point-clusters, the Rank Order Clustering (ROC) technique is used for the first time in mapping, where no preset number of clusters is required for recognizing line clusters.

In Figure 11, two line clusters are shown ( C ( x ) = 1 and C ( x ) = 2 ).

In order to characterize point y, we define C N ( y ) as the number of distinct line clusters that points x ∈ N ( y ) belong to.

In order to select the split direction, the axis corresponding to an eigenvector is considered as the discrimination border between the split line clusters and points belonging to the same subplane are grouped together.

Therefore, in this step, ellipses are merged using the following rule: merge two consecutive ellipses, if the resulting ellipse has minimum eigenvalue smaller than a threshold T1 (linearity) and the marginal width between the two line clusters is smaller than a threshold T2 (disconnectivity).

The MCF10A parental cell line clusters most closely with human breast cancer cell lines of the "Basal B" subtype in expression profiling [7], and it lacks functional estrogen or progesterone receptors [20].

In this paper we define a model, based on log line clustering and Markov chain simulation to create this synthetic log data.

Then, the disconnectivity of each line cluster is computed.

Those points belong either to line cluster 1 or to line cluster 2 and thus C N ( y ) = 2.

In that case, those points belong either to line cluster with index 1 or to line cluster with index 2. Thus, C N ( y ) = 2.

Let C ( x ) be the index of the line cluster point where x belongs to.