Simplified the design
Done the minkowsky distance
Modified the Instance class adding 2 attributes.

Modified the KNN class adding a PriorityQueue for sorting. The only
thing left is getting the local mode among the K nearest neighbors and
resolving the conflicts. For example there is no a clean local mode. Or
if we want K = 1 if there are more than one instances at the same
distance, meaning that there is no nearest neighbor.

Added A JUnit test for debugging and automated testing.
Everything interconnected.
Modified the flow of the KNN calculation in order to avoid recalculating
the distances for the same distance type but different neighbour number.
Finished the test class and the basic functioning for instances with
numeric values and the class being a zero or a one, being the zero
negative class and one positive class
test
Revert "Finished the test class and the basic functioning for instances with numeric values and the class being a zero or a one, being the zero negative class and one positive class"

This reverts commit 3dde0a571e25bd462ba3764753ba4863854e4fd9.
Revert "test"

This reverts commit f84491dbe90edf09dc37c89a4f4e8f2ba08a6076.
Revert "Revert "Finished the test class and the basic functioning for instances with numeric values and the class being a zero or a one, being the zero negative class and one positive class""

This reverts commit b0b8043d97521662190f37df94cae7dcf07cda6f.
Fixed the Minkowski's distance in the KNN.java

added a confusion matrix to the output.
FInished, but getConfusionMatrix needs to be almost redone.
Redone the GetConfusionMatrix, moved Instance to the org.md.misc
package.