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» Classes and clusters in data analysis
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EUROPAR
2004
Springer
15 years 10 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
SBBD
2008
183views Database» more  SBBD 2008»
15 years 8 months ago
Mining Software Repositories for Software Change Impact Analysis: A Case Study
Abstract Data mining algorithms have been recently applied to software repositories to help on the maintenance of evolving software systems. In the past, information about what cla...
Lile Hattori, Gilson Pereira dos Santos Jr., Ferna...
VLSISP
2010
191views more  VLSISP 2010»
15 years 1 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath
CSL
2009
Springer
16 years 1 months ago
Algorithmic Analysis of Array-Accessing Programs
For programs whose data variables range over boolean or finite domains, program verification is decidable, and this forms the basis of recent tools for software model checking. I...
Rajeev Alur, Pavol Cerný, Scott Weinstein
NPC
2010
Springer
15 years 5 months ago
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping
Abstract. Cluster-based storage systems connected with TCP/IP networks are expected to achieve a high throughput by striping files across multiple storage servers. However, for th...
Xuechen Zhang, Guiquan Liu, Song Jiang