Читать книгу Data Analytics in Bioinformatics - Группа авторов - Страница 56

This algorithm is mostly applied in microarray data analysis as microarrays are collection of tens of thousands of genes and analysing them concurrently. This uses a membership function upon which a membership matrix is built from the dataset. This is updated at every instance of similarity check with the data points. The degree of membership is given by the weights of the matrix [25] which specifies the data point how similar it is to the mean of a cluster. The membership values ranges from 0 to 1.