def get_about():
    about_str = (
        """PoolBasedTripletMDS applies crowd-sourcing and adaptive sampling to 
        non-metric multidimensional scaling (NMDS). The NMDS objective is simple enough to state. 
        Condsider n objects (e.g. different kinds of beer) and suppose you are given a set of relations 
        like "object A is more similar to object B than C." For a large set of these relations and given a 
        desired dimension input, NMDS attempts to find a set of n points in d-dimensions, denoted 
        x1,x2,...,xn where each xi is a d-dimensional vector, that best agrees with the given relations in 
        the sense that if "object A is more similar to object B than C" then NMDS tries to find a set of points 
        in which ||xA - xB||_2 < ||xA - xC||_2 on as many of these triplets as possible (Note, ||z||_2 is 
        defined as the 2-norm: ||z||_2 = sqrt( z(1)^2 + z(2)^2 + ... + z(n)^2 )). The set of points, or 
        embedding, is evaluated on different metrics, the most natural one being the number of relations, or triplets 
        the embedding fails to satisfy in the given set of relations.""")
    return about_str
Returns description of app
dataset/ETHPy150Open nextml/NEXT/next/apps/PoolBasedTripletMDS/Info.py/get_about