Exact(6)
PCA model is used to identify patterns in data, and to highlight the data similarities and differences.
Reorganization of rows and columns of a matrix does not modify data but may ease or impair visual analysis of data similarities in this structure, according to Gestalt spatial proximity laws.
In presenting the data, similarities and differences between professionals' and women's accounts were noted.
Based on the interview data, similarities and differences in the process of the application are described for the three subgroups.
In order to obtain relevant knowledge from microarray data, similarities among genes and samples need to be carried out in many different ways, depending on the specific application.
The NMDS algorithm starts with a matrix of data similarities and then assigns a location to each data point in the N-dimensional space, using a non-linear least squares fit to minimize the distances between the data points.
Similar(54)
With the example of artificial data, similarity measure calculation was carried out.
The Grassmann manifold provides a robust framework for measuring data similarity in a subspace context.
His research interests include access methods for complex data, similarity searching, multimedia databases, and information visualization.
The standard deviation is a description of a set of data similarity.
New distance algorithm selection based on geology model and well logging data similarity attribute is obtained when utilizing.
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