An Overview on Clustering Analysis and Genome-database Knowledge Discovery
LI Cun · Journal of Huaihai Institute of Technology · 2002
Clustering analysis is one of the key tools for knowledge discovery in genome databases. However, with the coming of the post genomic era, great challenges are being posed by the tremendous quantity of genomic data to the known clustering algorithms. Clustering related issues in genome researches are discussed hereafter with analysis made on the content of genome database knowledge discovery, the application of clustering analysis to gene research and the very characteristics of genome databases, such as prodigiousness, high dimensionality, heterogeneous property and redundancy. It is suggested that an effective clustering algorithm that is oriented to the analysis of genome databases must settle all the problems produced by the above mentioned characteristics.