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BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
COMPSAC
2006
IEEE
14 years 2 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto
BMCBI
2010
106views more  BMCBI 2010»
13 years 8 months ago
A novel approach for haplotype-based association analysis using family data
Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...
Yixuan Chen, Xin Li, Jing Li
PAKDD
2011
ACM
419views Data Mining» more  PAKDD 2011»
12 years 11 months ago
DISC: Data-Intensive Similarity Measure for Categorical Data
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
Aditya Desai, Himanshu Singh, Vikram Pudi
GEOINFORMATICA
1998
107views more  GEOINFORMATICA 1998»
13 years 8 months ago
A Comparison of Two Approaches to Ranking Algorithms Used to Compute Hill Slopes
The calculation of slope (downhill gradient) for a point in a digital elevation model (DEM) is a common procedure in the hydrological, environmental and remote sensing sciences. T...
Kevin H. Jones