simCluster Model Specifications
Model Specifications modify a model's behavior and access to server resources.
simCluster accepts the following model specifications:
| simSearch K | Specify the K number of results for the nearest neighbor search. (Default 10) |
| Pivots | The number of primary search points in the engine. This may improve query speed at the cost of training time. (Range 256 to 1024, default 256) |
| Probability | Minimum accepted probability that the distance between the result and the query will be within the Accepted Error range. Any result with lower probability will be discarded. (Range 0 to 1, default .95) |
| Accepted Error | Maximum accepted difference in distance between returned objects and the query object. (Minimum 1, default 1.2) |
| simCluster Range | Maximum accepted distance between the center of a cluster and a given element. (Range 0 to 1, default .2) |
| simCluster Iterations | Number of passes taken by simCluster to identify new cluster centers. (Minimum 1, default 3) |
| simCluster Percentage | Proportion of elements used to identify cluster centers for each pass. Higher may result in more granular clusters. (Range 0 to 1, default .5) |
| Processing Recipe | Determines if the clustering will be supervised or unsupervised. Dense = Supervised, Universal = Unsupervised. Dense requires a Class column to be specified. |