dist2_w | R Documentation |

Computes the boosted Euclidean distances between all pairs of data point given

dist2_w(X, C, weight)

`X` |
A data matrix where each row is a different data point |

`C` |
A data matrix where each row is a different data point. If this matrix is the same as X, pairwise distances for all data points are computed. |

`weight` |
A sequence indicating the weights of each features. |

Returns an N x M matrix where N is the number of rows in X and M is the number of rows in M. element (n,m) is the squared Euclidean distance between nth data point in X and mth data point in C

Weighed network fusion through association signal annotations, Peifeng Ruan, Ya Wang, Ronglai Shen, Shuang Wang.

#load data data(data1) data(data2) data(weight1) data(weight2) # Calculate boosted distance matrices(here we calculate Euclidean Distance, Dist1 = dist2_w(as.matrix(data1), as.matrix(data1),weight1) Dist2 = dist2_w(as.matrix(data2), as.matrix(data2),weight2)

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