Equal intervals classification was found not to be useful for its emphasis on the amount of one class value relative to other classes.
At their worst, the federal courts have endorsed separate-but-equal racial classifications and the wartime internment of Japanese-Americans.
There can be no real doubt that Bowers will eventually be relegated to the same dustbin of legal history as Plessy v. Ferguson, which upheld separate-but-equal racial classifications, and the Dred Scott case, which required the return of fugitive slaves.
The highest probability of correct classification, equal to 83%, is provided using the CIB features.
Features do not have weight in original NB, they are believed to have equal contribution for classification.
The probabilities of correct classification equal to 82% and 81% are provided using the CDFB and C features, respectively; The last considered class of three walking persons is classified with a probability of correct classification at a level of 89% using the CDFB and C features.
The most commonly recognized groupings are the ANTP, PRD, LIM, POU, HNF, SINE, TALE, CUT, PROS and ZF groups (or variants of these names), although these are not always given equal rank in classification schemes [ 1, 2, 4- 8].
To give all genes equal weights for classification of expression profiles the data were autoscaled (FCAS) by subtracting the mean expression of every gene in each strain (i.e, the column mean) and dividing with the (column) standard deviation: F C A S = (F C − F C ¯ ) / S D The average expression of each gene in each strain is now zero and its standard deviation is one.
Conditional percentages are used to indicate the amount of equal and divergent classifications on each level.
