Sentence examples for cluster approach with from inspiring English sources
Connecticut's Department of Economic and Community Development had already started to use the cluster approach with the state's aerospace and biotechnology industries when, last year, it hired Mr. Porter's consulting organization, Initiative for a Competitive Inner City, to examine the strengths of Bridgeport, Hartford, New Haven, New Britain and Waterbury and help them create growth strategies.
Meanwhile, the cluster approach, with the use of continuous variables, revealed almost 15 times the prevalence (29%) of children at risk.
An internal mask derived from the PET data is used for clustering in the supervised cluster approach with six classes [ 4], and although low uptake areas in the tumour will be masked out, high uptake foci might still be included in the reference cluster.
We use the spectral clustering approach with a simple measure of similarity between normal unit vectors in spherical space that is specific to the clustering of rock discontinuity orientations.
It can work well with any clustering approach with some modifications.
As described in the previous section, we take the grid-based clustering approach with predefined centres.
In this paper, a clustering approach with a single-hop communication based upon link correlation is adopted.
In this work, we introduce a new clustering approach with the aim of increasing the stability of the network topology and making it less dynamic.
In [14] and [15], a basic static clustering approach with linear beamforming is proposed and the spectral efficiency is shown to improve linearly with the number of cooperating BSs.
This iterative clustering stage followed the exact procedure of the normalized group clustering approach, with both the individual clustering stage (Stage A) and group clustering stage (Stage B).
We report on a voxel based model-free normalized cut graph clustering approach with whole brain coverage for group analysis of resting-state data, in which the number of RSNs is computed as an optimal clustering fit of the data.
