object CRP
from wikipedia definition
In probability theory, the Chinese restaurant process is a discrete-time stochastic process, analogous to seating customers at tables in a Chinese restaurant. Imagine a Chinese restaurant with an infinite number of circular tables, each with infinite capacity. Customer 1 is seated at an unoccupied table with probability 1. At time n + 1, a new customer chooses uniformly at random to sit at one of the following n + 1 places: directly to the left of one of the n customers already sitting at an occupied table, or at a new, unoccupied table.
At time n, the value of the process is a partition of the set of n customers, where the tables are the blocks of the partition. Mathematicians are interested in the probability distribution of this random partition.
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def
cluster(vecs: Array[FloatVector], pnew: Double = 0.9): Model
Given a list of normalized vectors return the CRP cluster model.
Given a list of normalized vectors return the CRP cluster model. default pnew=0.9, threshold for creation of new cluster if given a new vector is not close enough to any of the existing cluster.
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