Datapoints: [1:n,1:d] matrix of Datapoints points of dimension d, the points are in the rows
Eps: Optional,scalar above zero that defines minimum non-identical euclidean distance between two points
Details
Euclidean distance is computed and used within. Setting Eps to a very small number results in the identification of unique data points. Setting epsilon to a higher number results in the definition of mesh points within an d-dimensional R-ball graph.
Returns
List with - Unique: [1:k,1:d] Datapoints points without duplicate points
UniqueInd: [1:k] index vector such that Unique == Datapoints[UniqueInd,], it has k non-consecutive numbers or labels, each label defines a row number within Datapoints[1:n,1:d] of a unique data point
Uniq2DatapointsInd: [1:n] index vector. It has k unique index numbers representing the arbitrary labels. Each labels is mapped uniquely to a point in Unique. Logically in a way such that Datapoints == Unique[Uniq2DatapointsInd,] (will not work directly in R this way)