Feature vectors discrete-valued

The components of discrete feature vectors may indicate the presence or absence of a feature, the number of occurrences of a feature, or a finite set of binned values such as would be found in an ordered, categorical variable. 

There are many other expressions for similarity that can be used for integer-and categorical-valued vectors. Again, the comprehensive discussion provided by Willett et al. should be consulted for additional details (7). Many of the features of discrete vector-based representations do not capture all of the relevant... 

Subheading 2.2. describes the properties of discrete-valued feature vectors, with components given by finite, ordered sets of values. The most prevalent class is that of vectors with binary-valued components, which are mathemati-... 

Discrete Smooth Interpolation DSI is as much a philosophy of mathematical modelling as it is an interpolation method [113, 114]. A topological structure, in the form of a set of nodes with a pre-assigned neighbourhood structure, is assumed. A local roughness function is then defined for each node. An essential feature of the method is the assumption that each roughness function is a quadratic form in the values to be interpolated. Note that the interpolated function can be vector valued. 

---