The pattern signatures were partitioned into classes based on their length.
Fluorescence decay traces of the individual pixels were partitioned into classes (i.e., clusters) using a multivariate pattern recognition method.
We consider a generalization of the knapsack problem in which items are partitioned into classes, each characterized by a fixed cost and capacity.
The Maximum Partitioned Hamiltonian Path generalises the Maximum Asymmetric Travelling Salesman Problem when the nodes are partitioned into classes and the path must contain one element of each class.
Data within a spectral hypercube are partitioned into classes that reproduce tissue histology by use of Hierarchical Cluster Analysis (HCA).
To take into account the known biases, the locus pairs were partitioned into classes of genomic distance, gene density and DNase sensitivity.
The last result implies that MUL-trees can be partitioned into equivalence classes, where each class consists of the set of all trees with the same information content.
For a solution to the WMLF/GS problem for a SNP matrix M, after flipping the corresponding elements, all the rows of M can be partitioned into two classes H0 and H1, such that every two rows in the same class are compatible.
To define an inner product operation, he specified that the set of Lebesgue square-integrable functions must be partitioned into equivalence classes modulo the relation of differing on a set of measure zero.
We remark that the mentioned methods, e.g., [38], [39], [40], [41], [34], [35] for measuring the structural information content of a graph-based system are based on the following principle: Starting from a certain equivalence criterion, a graph-based system with n elements can be partitioned into k classes, see, e.g., [14].
