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BMCBI
2010
121views more  BMCBI 2010»
15 years 3 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
CPM
2001
Springer
211views Combinatorics» more  CPM 2001»
15 years 11 months ago
Fuzzy Hamming Distance: A New Dissimilarity Measure
Lempel Ziv Coding (Extended Abstract). . . . . . . . . . . . . . . . . . . . . . . 18 Shmuel Tomi Klein, Yair Wiseman Approximate Matching of Run-Length Compressed Strings . . . . ...
Abraham Bookstein, Shmuel T. Klein, Timo Raita
ICFP
2010
ACM
15 years 7 months ago
Distance makes the types grow stronger: a calculus for differential privacy
We want assurances that sensitive information will not be disclosed when aggregate data derived from a database is published. Differential privacy offers a strong statistical guar...
Jason Reed, Benjamin C. Pierce
TALG
2010
158views more  TALG 2010»
15 years 1 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
CMOT
2004
141views more  CMOT 2004»
15 years 6 months ago
Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs
We describe a methodology to examine bipartite relational data structures as exemplified in networks of corporate interlocking. These structures can be represented as bipartite gr...
Garry Robins, Malcolm Alexander