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AIRS
2006
Springer
15 years 10 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
16 years 20 days ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 10 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
ICECCS
2002
IEEE
161views Hardware» more  ICECCS 2002»
15 years 11 months ago
Interclass Testing of Object Oriented Software
The characteristics of object-oriented software affect type and relevance of faults. In particular, the state of the objects may cause faults that cannot be easily revealed with t...
Vincenzo Martena, Alessandro Orso, Mauro Pezz&egra...
BMCBI
2008
128views more  BMCBI 2008»
15 years 6 months ago
Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate reg
Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good...
David D. Smith, Pål Sætrom, Ola R. Sn&...