Vector Manipulation Layer (VectorLib)


Normalization
to normalize data



FUNCTIONS

double[][] - Normalization("minmax", double[][] data, int newmin, int newmax)
double[][] - Normalization("zscore", double[][] data)
double[][] - Normalization("decimalscaling", double[][] data, int[] divider)
double[][] - Normalization("sigmoidal", double[][] data)
double[][] - Normalization("softmax", double[][] data, int linear_response)




EXAMPLES

Example

VectorLib vlib=new VectorLib(); double[][] data={{5, 7, 2}, {3, 8, 5}, {4, 1, 3}, {9, 4, 2}, {4, 6, 5}}; double[][] output1=vlibNormalization("minmax", data, 0, 1); double[][] output2=vlibNormalization("zscore", data); int[] divider={1, 100, 10}; double[][] output3=vlibNormalization("decimalscaling", data, divider); double[][] output4=vlibNormalization("sigmoidal", data); double[][] output5=vlibNormalization("softmax", data, 1); vlib.view("Min-Max", output1); vlib.view("Z-Score", output2); vlib.view("Decimal Scaling", output3); vlib.view("Sigmoidal", output4); vlib.view("Softmax", output5);

Output

Min-Max = 0.3333333333333333      0.8571428571428571      0.0 0.0      1.0      1.0 0.16666666666666666      0.0      0.3333333333333333 1.0      0.42857142857142855      0.0 0.16666666666666666      0.7142857142857143      1.0 Z-Score = 0.0      0.7252406676228421      -1.0320936930842797 -0.9534625892455922      1.1281521496355322      1.1795356492391769 -0.4767312946227961      -1.6922282244532987      -0.29488391230979416 1.9069251784911845      -0.4834937784152282      -1.0320936930842797 -0.4767312946227961      0.322329185610152      1.1795356492391769 Decimal Scaling = 5.0      0.07      0.2 3.0      0.08      0.5 4.0      0.01      0.3 9.0      0.04      0.2 4.0      0.06      0.5 Sigmoidal = 0.9866142981402034      0.9981778976090466      0.7615941558848424 0.9051482535990917      0.9993292997381611      0.9866142981402034 0.9640275800519547      0.4621171571936048      0.9051482535990917 0.9997532108476526      0.9640275800519547      0.7615941558848424 0.9640275800519547      0.995054753681732      0.9866142981402034 Softmax = 0.5      0.9896136431734177      0.0015240848089748606 0.002495463705233926      0.9991659551687019      0.9993959449953425 0.04763452430320021      2.4116660929774056E-5      0.1355432772465239 0.9999937415031398      0.04574357830875184      0.0015240848089748606 0.04763452430320021      0.8834231922812504      0.9993959449953425