The proposal, named Merkurion, updates the concept of Data Distribution Space and captures data distributions according to the distances between the elements within a dataset.
It is usually just the first few principal components that are analyzed, because they describe the main variability within a dataset and thus represent the main movement patterns.
Figure 3 A snippet from the Alert4All "screening of new media" tool showing the relative probability distribution of emotions within a dataset gathered during the Fukushima disaster.
It computes, following [17], an estimation of the center of rotation and any dependency of this number on the sinogram within a dataset.
In other words, data standards define what will be visible within a dataset and how those data may be categorized, joined-up, combined and analysed.
A mixture of experts via a gating Convolutional Neural Network (CNN) is one promising architecture for adaptively weighting every sample within a dataset.
Our results indicate that stepwise and adaptive approaches have a better adaptability to changes within a dataset and that this adaptability results in a better error performance and stability of the resulting models.
Thematic analysis is an inductive, constructivist process and involves the search for and identification of common 'themes', threads or patterns that occur within a dataset (Vaismoradi, Turunen, & Bondas, 2013).
The classification accuracy may vary between datasets and descriptors, but also within a dataset for a specific descriptor, i.e., all classes may not equally be easy or difficult to discriminate.
The findings are as follows: (1) open issues and challenges to evaluation and benchmarking are emphasized; and (2) decision making using multiple criteria such as reliability, time complexity, and error rate within a dataset is used for evaluating and benchmarking real-time skin detectors to come up with solutions for future directions.
For full details of the method and analysis see Additional file 2. Cluster analysis refers to a range of algorithms that can be used to find groups of cases within a dataset, such as questionnaire respondents, that are more similar to each other than they are to cases within other groups [40].
