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» Improving Cluster Method Quality by Validity Indices
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ICMLA
2008
15 years 1 months ago
Farthest Centroids Divisive Clustering
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
Haw-ren Fang, Yousef Saad
136
Voted
ICSEA
2009
IEEE
14 years 10 months ago
Strengthening Refactoring: Towards Software Evolution with Quantitative and Experimental Grounds
: Refactoring is a process meant to improve the internal quality of software systems. However, while on one hand, the guidelines for this delicate process are still empirical and q...
Sergio Bryton, Fernando Brito e Abreu
87
Voted
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 6 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
123
Voted
BMCBI
2007
149views more  BMCBI 2007»
15 years 17 days ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
142
Voted
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov