Clustering
Last updated
Last updated
The Clustering rollout allows grouping elements together. Insanely useful for mimicking phenomena found in the real world, like large patches of dried grass on lawns or weeds clumping. There are three different types of clustering algorithms.
Size - Specifies the size of the clusters. Fuzz - Determines the crimping of the cluster shapes. Blur - Controls the diffusion of the cluster edges. Noise - Specifies the factor of the introduced random elements.
Shape - Defines a shape to be used for clustering. Size - Specifies the size of clusters. Rotation - Determines the range of random rotation performed by the defined shape. Scale - Determines the range of random scaling applied to the defined shape. Blur - Controls the diffusion of the cluster edges. Noise - Specifies the factor of the introduced random elements.
Filename - Defines the path to an image to be used for clustering. Mapping Type - Allows choosing between Simple and Individual UV mapping. Mapping - Provides simple mapping as well as user-friendly editing. UV Channel - Determines the UV channel for evaluation. Blur - Controls the diffusion of the cluster edges. In Map type case, it refers to gradient values treatment. Noise - Specifies the factor of the introduced random elements.
