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COMGEO
2004
ACM
13 years 8 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
DAC
2011
ACM
12 years 8 months ago
Efficient incremental analysis of on-chip power grid via sparse approximation
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...
Pei Sun, Xin Li, Ming Yuan Ting
CIKM
2010
Springer
13 years 7 months ago
Hypergraph-based multilevel matrix approximation for text information retrieval
In Latent Semantic Indexing (LSI), a collection of documents is often pre-processed to form a sparse term-document matrix, followed by a computation of a low-rank approximation to...
Haw-ren Fang, Yousef Saad
CLUSTER
2001
IEEE
14 years 11 days ago
Approximation Algorithms for Data Distribution with Load Balancing of Web Servers
Given the increasing traffic on the World Wide Web (Web), it is difficult for a single popular Web server to handle the demand from its many clients. By clustering a group of Web ...
Li-Chuan Chen, Hyeong-Ah Choi
PODC
2006
ACM
14 years 2 months ago
Local approximation schemes for topology control
This paper presents a distributed algorithm for wireless adhoc networks that runs in polylogarithmic number of rounds in the size of the network and constructs a lightweight, line...
Mirela Damian, Saurav Pandit, Sriram V. Pemmaraju