Node Connectivity

There are 43 nodes that can be used as successor for a node with an output port of type Distance Measure.

Hierarchical Clustering (DistMatrix) 

Performs Hierarchical Clustering on distance matrix input.

K Nearest Neighbor (Distance Function) 

Classifies a set of test data based on the k Nearest Neighbor algorithm using the training data.

Boosting Learner Loop End 

Loop end node for learning an ensemble model with boosting

Model Loop End 

Collects and combines all models provided during the loop iterations.

Model to Cell 

Converts a model input into a single table cell.

Silhouette Coefficient 

This node computes the Silhouette Coefficient for the provided clustering result.

Aggregated Distance 

Aggregates distance measures with the usage of Java code.

Distance Matrix Calculate 

Calculates distance matrix on input table and appends result as (typed) column.

Similarity Search 

Similarity/Distance search in two data sets.

Keras Convolutional LSTM 2D Layer 

2D Convolutional Long-Short Term Memory (LSTM) layer.