These new variables are called the "principal components" of the data and represent important underlying structure in the data.
Although this summed distance necessarily becomes smaller as more clusters are added, the rate of decline decreases with each added group, eventually settling at a fairly constant rate of decline that reflects overfitting; clusters added prior to this point reflect underlying structure in the temporal protein data, whereas clusters subsequently added through overfitting are not informative.
The dyadic wavelet transform is used to detect these transients in pressure time series and a relatively simple pattern classification scheme is used to detect underlying structure in these transients.
Mixture models are commonly used to identify the underlying structures in such data, and the aim of this study was to develop Bayesian mixture models for the genetic analysis of health status (runt/healthy) of surviving fish from an IPN outbreak.
According to Kernberg, identity diffusion is one of the relevant underlying structures in terms of personality organization for developing psychopathology, especially borderline personality disorder.
To better understand these relationships, this paper reports on some of the findings of analyses, conducted to identify underlying structures in various aspects of travel patterns.
As in other studies [ 37– 40], this study was able to illustrate the usefulness of multiple correspondence analysis (MCA) in detecting and representing underlying structures in a large dataset used to investigate key components likely to explain the effectiveness of case management for frail older people in Belgium.
The G-SLI impairment is life-long, and affects grammatical rules underlying structures in syntax, morphology, and phonology[3].
This useful and versatile method has been applied in various fields of the health and medicine to social sciences, for example in detecting underlying structures in datasets, but has hardly ever served in dental research.
