On text clustering with side information
Charu C. Aggarwal, Yuchen Zhao, et al.
ICDE 2012
Let G = (N, A) be a network with a designated source node s, a designated sink node t, and a finite integral capacity uij on each arc (i, j) ∈ A. An elementary K-flow is a flow of K units from s to t such that the flow on each arc is 0 or 1. A K-route flow is a flow from s to t that may be expressed as a nonnegative linear sum of elementary K-flows. In this paper, we show how to determine a maximum K-route flow as a sequence of O(min {log (nU), K}) maximum-flow problems. This improves upon the algorithm by Kishimoto, which solves this problem as a sequence of K maximum-flow problems. In addition, we have simplified and extended some of the basic theory. We also discuss the application of our technique to Birkhoff's theorem and a scheduling problem. © 2001 John Wiley & Sons, Inc.
Charu C. Aggarwal, Yuchen Zhao, et al.
ICDE 2012
Charu C. Aggarwal
Data Mining and Knowledge Discovery
Yizhou Sun, Charu C. Aggarwal, et al.
VLDB
Charu C. Aggarwal, Yao Li, et al.
VLDB