fluid.knnregressor The fluid.knnregressor object performs K-Nearest Neighbours regression, enabling the prediction of outputs by finding the weighted average of neighboring data points within datasets.
fluid.stats The fluid.stats object calculates the rolling mean and sample standard deviation for multichannel control inputs over a specified window.
commonality The commonality object calculates the 'Pitch Commonality' between three or more specified pitches.
anal The anal object calculates and stores transition probabilities between sequences of numbers, primarily for implementing Markov Chains.
fluid.standardize The fluid.standardize object rescales a FluidDataSet by transforming its data to have a mean of 0 and a standard deviation of 1 for each dimension.
gendyn~ The gendyn~ object implements Dynamic Stochastic Synthesis, generating waveforms where each point's amplitude and frequency evolve via a random walk.
fluid.pcafluid.pca performs Principal Component Analysis (PCA) on a fluid.dataset to reduce dimensionality, such as transforming 13 MFCC values into 2.
fluid.bufspectralshape The fluid.bufspectralshape object computes seven spectral shape descriptors (centroid, spread, skewness, kurtosis, rolloff, flatness, crest) from an audio source.
fluid.skmeansfluid.skmeans implements the K-means clustering algorithm with cosine similarity.
kalman The kalman object implements a simple, linear, one-dimensional Kalman filter.
prob The prob object generates a weighted series of random numbers based on a first-order Markov chain.
fluid.kmeans The fluid.kmeans object implements the K-means clustering algorithm, used to group data points from a fluid.dataset into a specified number of clusters.
brown The brown object generates pseudo-random numbers following a bounded Brownian motion, producing a control signal that takes small, random steps within a defined range.
fluid.normalize The fluid.normalize object normalizes a fluid.dataset or a single data point.
fluid.nmfmorph~ The fluid.nmfmorph~ object performs cross-synthesis between two audio sources using Nonnegative Matrix Factorization (NMF) and Optimal Transport (OT).
fluid.robustscale The fluid.robustscale object applies robust scaling to fluid.dataset objects.
fluid.bufstats The fluid.bufstats object calculates various statistical descriptors (e.g., mean, standard deviation, skewness, kurtosis, pitch) from segments within an audio buffer.
fluid.mds The fluid.mds object performs Multidimensional Scaling (MDS) for dimensionality reduction on a fluid.dataset.
histo The histo object records the frequency of received positive integers, creating a histogram.
markov The markov object generates sequences based on learned patterns, creating Markov chains of any order from floats, symbols, or lists.
fluid.bufnmfcrossfluid.bufnmfcross reconstructs a target sound by using components learned from a source sound through Non-negative Matrix Factorization (NMF).
median The median object calculates the median value of a given list of numbers.