The problem of merging Gaussian mixture components is discussed in situations where a Gaussian mixture is fitted but the mixture components are not separated enough from each other to interpret them as "clusters". Two methods are introduced, corresponding to two different "cluster concepts" (separation by gaps and "data patterns"). A visualisation of the modality of a density of a mixture of two Gaussians is proposed and the stability of the unmerged Gaussian mixture is compared to that of clusterings obtained by merging components.