**15**
results

- Go to itemCalculates distance values for all pairs of rows of the input table. The result is appended to the input table as a single column…1
- Go to itemThis node takes each row in the query table (Port 0) and searches the reference table (Port 1) for a number of rows matching the …1
- Go to itemEnables the aggregation of arbitrary distance measures using a Java snippet. The port number is used to refer to a value of a giv…0
- Go to itemThis node normalizes a distance matrix so that the maximum distance is 1. The minimum distance is not set to 0, so the normalizat…0
- Go to itemExtracts all pairs from the distance matrix that apply to the selected comparator and threshold.0
- Go to itemRead a distance matrix from a given URL. The file (or URL) is plain ASCII file (possibly gzip'ed) of distance or similarity value…0
- Go to itemWrites the content of a distance matrix column to an output file or a remote location denoted by a URL. The output file will cont…0
- Go to itemEnables the definition of arbitrary distance measures using a Java snippet. A distance measure is defined on two equal structured…0
- Go to itemConverts a linear correlation model into a distance matrix. The correlation coefficients are normalized to [0, 1] and are then us…0
- Go to itemThe Mahalanobis Distance is a metric, which measures the distance of two data sets with respect to the variance and covariance of…0
- Go to itemThe Matrix Distance is just a wrapper around a distance matrix column. This reduces the evaluation of a distance measure between …0
- Go to itemDistance definition on numerical column(s), like for instance Euclidean or Manhattan distance. Parameters for missing value handl…0
- Go to itemDistance definition on a string column, like for instance Levenshtein distance. Additional parameters can be set based on the sel…0