PMC:1630425 / 26425-27156 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1630425","sourcedb":"PMC","sourceid":"1630425","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1630425","text":"The parameter D is the number of dimensions of the unitary USM hypercubes (e.g. d = 2 for the example in Figure 1) and the expression in Equation 2 simply states that the kernel density value in position u is obtained by adding the values of H, for each of the orders up to L-1, which makes it a scale dependent height function, for the number of elements of the kernel training dataset, x, that are positioned within a scale dependent neighborhood confined by lower and upper boundaries, LB and UB, respectively. The choice of memory length, L, of the kernel, sets the resolution of the density function. This is graphically reflected by the finer grain of the density distribution for higher values of L in Figure 2 and Figure 3.","tracks":[]}