The phrase "aid clustering" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or organizational strategies where assistance or support is provided for grouping or categorizing information.
Example: "The new software is designed to aid clustering of similar data points, making it easier for analysts to identify trends."
Alternatives: "assist in grouping" or "support categorization".
In the present study, we report a new visually aided clustering approach aimed at identifying clusters of multiply affected families with schizophrenia on the basis of performance in neuropsychological tests.
The UK aid cluster and its revolving door between think tanks, NGOs, media and DfID produces a horrendous tide of aid jargon, but also some useful learning and progress.
OWS Mutual Aid cluster 1pm-4pm, UniOWSSquare OWS Mutual Aid cluster is hosting a free store, skill shares and workshops on a variety of subjects related to life outside the dominant capitalist paradigm.
In this regard, the availability of CHIP-seq or CHIP-on-chip data from the specific cell types will aid cluster validation.
We also summarize the results of a recently published cross-phenotype meta-analysis that uses genetic association results to highlight four main AID clusters.
It found that RA and AS appeared to represent one AID cluster that is distinct from another represented by MS and AITD, with T1D showing similarity to both groups and Crohn's disease to neither.
To better deal with complex inter-target occlusion problems, with the aid of clustering process and extracted image features, Naqvi et al. [20] propose clustering and JPDAF for coping with occlusions in multi-target tracking.
Subsequent analysis with the aid of clustering algorithms and other analytical tools would then provide an assessment of which biological pathways and processes are induced.
The visually aided clustering algorithm was successful in identifying family clusters comprising both schizophrenia patients and their relatives.
We report on the application of a visually aided clustering algorithm to data based on performance in a set of neuropsychological test measures, these being potential endophenotypic traits in schizophrenia.
