Enables the definition of arbitrary distance measures using a Java snippet. A distance measure is defined on two equal structured rows. You can refer to a cell value by enclosing the column name prefi…

Read a moe ph4 model from a file.

Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted to be split in its region The decision betwee…

Filters all edges by their degree. Can be used to filter hyperedges (degree > 2), loops (degree = 1) and empty edges (degree = 0).

This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity The classifier consists of mu…

Class for construction a Rotation Forest Can do classification and regression depending on the base learner. For more information, see Juan J.Rodriguez, Ludmila I. Kuncheva, Carlos J.Alonso (2006). Ro…

Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery …

Predicts the response using a regression model. The node needs to be connected to a regression node model* and some test data. It is only executable if the test data contains the columns that are used…

A wrapper around a serialized classifier model This classifier loads a serialized models and uses it to make predictions. Warning: since the serialized model doesn't get changed, cross-validation cann…

Reads a weka clustering model from a (zip) file.