Sentence examples for cluster and d from inspiring English sources

mathop {arg hbox{min} }limits_{S} sumlimits_{i = 1}^{k} {sumlimits_{{x_{j} in S_{i} }} {D^{2} left( {x_{j},mu_{i} } right)} } where k is the number of cluster, S i is the set of the i th cluster (or elements in the i th cluster), μ i is the mean of the points in i th cluster and D 2(x j, μ i ) is the distance between point x j and μ i. Open image in new window.

> -wrap-foot> The DBC454 algorithm depends on two essential parameters: N, the minimal number of points that are required to find a valid cluster; and d, the maximal distance between two points for them to be connected together.

Using these two clusters, we measured d 1, the mean distance between pairs of individuals in the same cluster, and d 2, the mean distance between pairs of individuals in different clusters.

The inclusion criteria were (A) communities within a radius of 25 km from the research office, (B) slum and resettlement community present together as a cluster, (C) more than 500 households in each component of the cluster and (D) have a known non-governmental organisation working for the community and willing to participate in the research.

(A) Gold sputtering, (B) porphyrin evaporation, (C) temperature annealing and gold clustering, and (D) excitation of plasmon resonance with luminescence enhancement.

In which R i represents the optimum relay, S is the source cluster head, and D is the destination cluster head.

Pairwise estimates of FST indicated a high degree of differentiation between the four clusters with values ranging from 0.21 between clusters C and D to 0.64 between clusters A and D (Table 5).

Also members of the glutamate (GRM1, GRM2, GRM8) and GABA receptor family (GABBR2) were highly expressed in cluster C and D (Figure 3D and Table S2).

Clusters B and D transfer electrons between cluster C and external redox regents.

They fall apart in three clusters, based on expression of a series of neuronal differentiation genes in clusters C and D and expression of retinal differentiation genes in clusters D and E (see below and Figure 2).

It is interesting to note that in clusters A and D, we found downregulation of transcripts (PEBP1 and Complexin III (cluster A) and BIN, ACTB, BAIAP2, EphB, KLK8, ARD1, PDE4, Ehmt2, Neurod2, STAT3, S100B, and CCND3 (cluster D)) that are involved in dendritic spine formation, modulation of synaptic functioning, and cognitive decline.