Description Usage Arguments Details Value References Examples

Aggregated Data Clustering (ADC) is a direct clustering multi-source technique. ADC merges the columns of all data sets into a single large data set on which a final clustering is performed.

1 2 |

`List` |
A list of data matrices of the same type. It is assumed the rows are corresponding with the objects. |

`distmeasure` |
Choice of metric for the dissimilarity matrix (character). Should be one of "tanimoto", "euclidean", "jaccard", "hamming". Defaults to "tanimoto". |

`normalize` |
Logical. Indicates whether to normalize the distance matrices or not, defaults to FALSE. This is recommended if different distance types are used. More details on normalization in |

`method` |
A method of normalization. Should be one of "Quantile","Fisher-Yates", "standardize","Range" or any of the first letters of these names. Default is NULL. |

`clust` |
Choice of clustering function (character). Defaults to "agnes". |

`linkage` |
Choice of inter group dissimilarity (character). Defaults to "flexible". |

`alpha` |
The parameter alpha to be used in the "flexible" linkage of the agnes function. Defaults to 0.625 and is only used if the linkage is set to "flexible". |

In order to perform aggregated data clustering, the `ADC`

function was written. A list of data matrices of the same type (continuous or binary) is required as input which are combined into a single (larger) matrix. Hierarchical clustering is performed
with the `agnes`

function and the ward link on the resulting data matrix and an applicable distance measure is indicated by the user.

The returned value is a list with the following three elements.

`AllData` |
Fused data matrix of the data matrices |

`DistM` |
The distance matrix computed from the AllData element |

`Clust` |
The resulting clustering |

The value has class "ADC". The Clust element will be of interest for further applications.

Fodeh2013IntClust

1 2 3 4 5 | ```
data(fingerprintMat)
data(targetMat)
L=list(fingerprintMat,targetMat)
MCF7_ADC=ADC(List=L,distmeasure="tanimoto",normalize=FALSE,method=NULL,clust="agnes",
linkage="flexible",alpha=0.625)
``` |

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