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In this paper, a high order array (tensor) is suggested for data representation, based on which the Uncorrelated Multilinear Principal Component Analysis (UMPCA) is applied to analyze the variation of human motion patterns.
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The team that conducted the interviews analyzed the data to determine themes, as has been suggested for qualitative data analysis (Creswell 2007; Denzin and Lincoln 2005).
As Rand [5] mentioned in his study, many intuitively appealing methods had been suggested for clustering data; however, interpretation of their results had been hindered by the lack of objective criteria.
We also analysed the data through a cubic regression model, as often suggested for human genome data [ 5], but obtained unrealistic copy number distributions (results not shown).
Thus, an additional step is suggested for using the data that form the outlier feature vector.
Several mathematical models have been suggested for air-pollution data imputation (Junninen et al. 2004; Plaia and Bondi 2006; Schneider 2001).
This is similar to several clustering methods that have been suggested for time series data [ 9, 10].
Although an effect of adjuvant chemo radio therapy has been suggested for GBCA, randomized data evaluating current CTx regimens are lacking.
It also discusses at length a number of suggested guidelines for data analysis strategies and for reporting and interpreting MANOVA results, and illustrates these guidelines using a research example.
Reflective interview is an important method Fraenkel and Wallen (2006) suggest, for obtaining data unable to be acquired from video observation alone.
These data suggested for additional mechanisms involved in downregulation of PMEPA1 in AA CaP.
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