I have uploaded a brief paper on testing for multi-modality using clustering - here.

In general modality is looked at from a distributional perspective. Silverman’s test uses a kernel density estimate (KDE) to test for modality. But the test statistic is biased and it can only test for one mode hypothesis against another. We propose a different way by looking at a distribution from the top.