k-means clustering
cluster variable
allocation unit
Gibbs sampling
declustering
underclustering
centrotype
preclustering
fast time scale
clusterwise
clustermap
autoclustering
subcluster
constellate
clusterogram
chunklet
centroid
cluster
preclustered
clusterball
clustered
slow time scale
clusterlike
extended time scale
biclustering
clusteringly
clustercentric
fustercluck
clusterbumble
polytype
clusterization
diagonalisation
intracluster
archetypoid
metaclustering
system of measurement
miscluster
clusterful
halofinding
quantificational
metric
intercluster
macrocluster
bound
quantificationally
spike addition
column vector
clustroid
Cl
rejection sampling
unitary group
macroinference
clusterless
misclustering
right stochastic matrix
ray tracer
clusterize
clusterwide
quantified
trend extrapolation
factor analysis
Dodgson condensation
Metropolis-Hastings algorithm
transpose
monostrand
clusteredness
transition matrix
quantify
statistical distribution
cofasciculated
Jacobian
clusterfrack
elasticity
randomisation
rule of succession
group action
Four-Russians
distribution
multivariate analysis
clusterable
randomization
matrix group
multicluster
percolation theory
block
prequantified
hyperbox
parallelotope
fascicle
quant
stoquastic
LU
clairvoyant
projection matrix
clusterability
hubness

English words for 'A method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.'

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