Large ecological data matrices may be incomplete for various reasons, preventing the use of standard multidimensional scaling (ordination) and cluster analysis packages. Although there exist a few resemblance functions that allow missing scores, is no theoretical background software support most distance similarity coefficients potentially applied in multivariate analysis. We provide general fr...

We study fundamental clustering problems for incomplete data. Specifically, given a set of d-dimensional vectors (representing rows matrix), the goal is to complete missing vector entries in way that admits partitioning into at most k clusters with radius or diameter r. give tight characterizations parameterized complexity these respect parameters k, r, and minimum number columns needed cover a...

Abstract Incomplete skyline query is an important operation to filter out pareto-optimal tuples on incomplete data. It harder than due intransitivity and cyclic dominance. analyzed that the existing algorithms cannot process massive data efficiently. This paper proposes a novel table-scan-based TSI algorithm deal with high efficiency. solves issues of dominance by two separate stages. In stage ...