The problem of clustering of multivariate random data containing o utliers is considered. The families of one-step and of multistep filtering procedures based on weighting of observations are proposed. The intraclass variance of f iltered observations is analytically evaluated for the hypothetical model of data and for the case of outliers in the data. Computer results of clustering for the well-known Fisher I ris Data under outliers are given.