Enduce library of the Tangloid sources
http://enduce.tangloid.net/

The library is developed at C++, and it is prepared for usage
at the R statistics system environment.

Dinorms:
This is for aggregation of dichotomic values from [-1, 1] interval
when one assumes that the values are supports for two
opposite situations. It can be e.g. reasons for cold vs. hot
situations, or underexpressed vs. overexpressed genes as
reasons for positive vs. negative advices on a treatment.

Contifiers:
This is for aggregation of [0, 1]-interval valued pairs
when we look for relations (associations) between the pair items.
The relations can be either
* directional, i.e. one being a cause for the second, or
* mutual, i.e. the pair items sharing some similarities.

Clustions:
This is for notion-wise clustering of [0, 1]-valued data,
with possible [-1, 1] interval being used as compressed pairs
of dichotomic data.
The clustering itself proceeds like k-means with the similarity
metrics based on Contifiers, especially the product ones.
It means that cases with zero-only values are neglected,
greater smilar values count for, greater dissimilar values
count against.

Martin Saturka

