mean_imputation

<p>A list of data frames: all those to be included in the imputation.</p>

<p>Works on a list of similarity matrices to impute missing values using the mean 
from the other views.</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

mean_imputation: mean_imputation: mean imputation function for multi-view spectral clustering with missing data

Description

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Examples