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Microarray technology facilitates to monitor the expression levels of multiple genes simultaneously over a number of time points. For analyzing such microarray gene expression data, fuzzy clustering plays an important role. However, this fact has inspired us to propose a new automatic cluster detection method using modified differential evolution based fuzzy symmetric clustering technique. Here, allocation...
The invention of micro-array technology helps to keep the records containing expression values of multiple genes over different experimental conditions. Clustering is an unsupervised classification technique which is considered as an important tool for inspecting micro-array data. The characteristics of such micro-array data include uncertainty, noise and imprecision. Therefore fuzzy clustering techniques...
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