harmonise_ids

<p>A list of similarity matrices: those to be harmonised.</p>

<p>Simply adds a column and row of NA with the missing ID for data imputation. The
similarity matrix requires row and column IDs present for this to work.</p>

A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens connections in the graph based on common nearest neighbours. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. The method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.

Christopher John

harmonise_ids: harmonise_ids: works on a list of similarity matrices to add entries of NA where there are missing observations between views

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