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SIGCSE
1999
ACM
91views Education» more  SIGCSE 1999»
15 years 7 months ago
Using randomization in the teaching of data structures and algorithms
We describe an approach for incorporating randomization in the teaching of data structures and algorithms. The proofs we include are quite simple and can easily
Michael T. Goodrich, Roberto Tamassia
ACISICIS
2007
IEEE
15 years 9 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
15 years 8 months ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
15 years 9 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
AAAI
2006
15 years 4 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu