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» A practical comparison of two K-Means clustering algorithms
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WEA
2007
Springer
104views Algorithms» more  WEA 2007»
15 years 5 months ago
Dynamic Trees in Practice
Dynamic tree data structures maintain forests that change over time through edge insertions and deletions. Besides maintaining connectivity information in logarithmic time, they ca...
Robert Endre Tarjan, Renato Fonseca F. Werneck
99
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WWW
2004
ACM
16 years 8 days ago
A hierarchical monothetic document clustering algorithm for summarization and browsing search results
Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest. In this paper, we propose a new hierar...
Krishna Kummamuru, Rohit Lotlikar, Shourya Roy, Ka...
BMCBI
2010
121views more  BMCBI 2010»
14 years 9 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,...
ICC
2000
IEEE
109views Communications» more  ICC 2000»
15 years 4 months ago
OFDM with Trailing Zeros versus OFDM with Cyclic Prefix: Links, Comparisons, and Application to the HiperLAN/2 System
This paper proposes a simple equalizer for a recent multicarrier block transmission scheme which pads zeros (as opposed to a cyclic prefix) in each transmitted block. In the abse...
Bertrand Muquet, Marc de Courville, Pierre Duhamel...
IMSCCS
2006
IEEE
15 years 5 months ago
Clustering of Gene Expression Data: Performance and Similarity Analysis
Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
Longde Yin, Chun-Hsi Huang