A Survey on Clustering Approaches for Gene Expression Patterns
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 4
Abstract
Clustering is the process of organizing objects into groups whose members are similar in some way, and different from members of other groups. Clustering is an efficient data mining technique that finds its usage in various fields. Clustering and Classification can be merged for better result solutions and also they complement each other. They can be used together as the traditional pattern recognition methods. With the advancement in the field of microarray technology, cluster analysis of the genes is made possible has many applications, by providing insight to the structural, functional and organisational aspects of gene data sets. Traditional,Hierarchical,Density-based and Evolutionary clustering algorithm for gene expression are discussed. Evolutionary Approaches include Clustering based on Genetic Algorithm. Special characteristics of gene expression data and the particular requirements from the biological domain,gene-based clustering presents several new challenges are also listed finally.
Authors and Affiliations
Irene Maria , Mathew Kurian
Keywords
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