A Proposed Paper on Gene Expression with PSO and K-Mean

Profiles of gene expression, which is in cell state present at molecular level, have huge potential medical diagnosis tool. Compared to the various genes conclude, presented training information sets usually have a fairly small sample size in the cancer type classification. These training information limitations constitute a challenge to various classification technologies. A reliable selection technique for genes relevant for sample classification is required in order to the speed up processing rate, decrease predictive error rate, and to avoid incomprehensibility because of genes investigated many number.