Sentence examples for data collection clustering from inspiring English sources

This regression corrected for potential differences between markets, which may be present given the sampling approach in the data collection (clustering at the market level).

For this retrospective case-control study, cluster sampling was used to generate a nationally representative sample while retaining operational feasibility of data collection; clusters were the basic TB programme management unit (tuberculosis unit–"TU") each covering ∼500,000 population.

We assume in each round of data collection, every cluster member sends l-bits of data to its cluster head, and then, the energy consumed by a CH in one round of data gathering can be represented by E_{text{ch}}=frac{N}{k}*l*E_{text{elec}}+frac{N}{k}*l*E_{text{DA}}+l*varepsilon_{text{fs}}*d^{4}_{text{BS}} (4).

The first stage involved selecting data collection points (clusters) from the national master sample frame and then households were systematically sampled from the selected clusters with women of ages 15 49 years eligible for interview [ 7, 27- 29].

The total energy dissipated in one round of data collection in cluster A can be calculated by begin{array}rcl@ E_{text{cluster}}&&=E_{ch}+left(frac{N}{k}-1right)E_{mathrm{non-ch}} &&approx E_{text{ch}}+left(frac{N}{k}right)E_{mathrm{non-ch}} end{array} (9).

Because of this, and the assumption that further logistical constraints and UN security regulations would arise during data collection, 36 clusters were selected from the northern stratum and 33 were selected from the southern stratum, with a goal of obtaining 30 clusters from each.

In [18], the authors proposed mobile data collection based on clustering and long-range wireless link (i.e. WiMax) between the mobile data collector and the gateway.

A complication that arises from multicenter data collection is data clustering: two patients from the same center have more similarities than two patients from different centers.

Each cluster has one agent node act as cluster head which needs to manage the data collection in its cluster.

This paper presents an approach for learning grasping with continuous servoing by using large-scale data collection on a cluster of up to 14 individual robots.

As mobile agent node is not limited by energy supply, hence only the data collection of inter-cluster is considered.