simCluster and simCluster+

📄️ Bias Detection Report

The Bias Detection Report runs bias queries across all clusters of a supervised clustering model and summarizes the results.

4 items

2 items

simCluster generates predictive groupings of similar objects in data, based on class, and supports unsupervised clustering too.

Data type specifications simCluster and simCluster+ accept for each column, including ID, REAL, NOMINAL, and MULTI_PLAIN.

simCluster model specifications, including simSearch K, Pivots, and the minimum accepted match Probability.

The difference between simCluster+'s K-Means clustering and K-Spilling, which allows datapoints to spill into secondary clusters.

simCluster query results as CSV: cluster ID, distance from cluster center, object ID, and the object's variables.

Data type specifications simCluster+ accepts for each column, including ID, REAL, NOMINAL, and MULTI_PLAIN.

simCluster+ query results as CSV: cluster ID, distance from cluster center, object ID, and the object's variables.