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Hierarchical cluster analysis (HCA) is a multivariate unsupervised

Hierarchical cluster analysis (HCA) is a multivariate unsupervised K3YE1
Hierarchical cluster analysis (HCA) is a multivariate unsupervised analysis method sometimes coupled to PCA for data treatment in colorimetric arrays, wherein clusters in multidimensional space are created in a discrete number of steps and related the usage of some kind of distance metric (Euclidean distance, Mahalanobis distance, and so on. ). The purpose of the HCA is to group the subjects with similar characteristics into clusters. In HCA, distinct strategies may be used: agglomeration (bottom-up) and divisive( top-down ). the first is an iterative manner. every data point is initially taken into consideration by a single cluster. In each iteration, similar groups are merged with each other till a single cluster is shaped. In a top-down clustering, a single set of all data is generally subdivided into two smaller similar clusters. while only one cluster is obtained for each observation, the process Ends. HCA dendrograms provide a straightforward approach of showing cluster similarity semiquantitatively and can successfully communicate the relationships between similar chemical species.
Hierarchical
cluster
analysis (HCA) is a multivariate unsupervised analysis method
sometimes
coupled to PCA for data treatment in colorimetric arrays, wherein
clusters
in multidimensional space
are created
in a discrete number of steps and related the usage of
some
kind of distance metric (Euclidean distance,
Mahalanobis
distance, and
so
on.
)
. The purpose of the HCA is to group the subjects with
similar
characteristics into
clusters
. In HCA, distinct strategies may be
used
: agglomeration (bottom-up) and divisive
(
top-down
)
.
the
first
is an iterative manner.
every
data point is
initially
taken into consideration by a single
cluster
. In each iteration,
similar
groups
are merged
with each other till a single
cluster
is shaped
. In a top-down clustering, a single set of all data is
generally
subdivided into two smaller
similar
clusters
.
while
only
one
cluster
is obtained
for each observation, the process Ends. HCA
dendrograms
provide a straightforward approach of showing
cluster
similarity
semiquantitatively
and can
successfully
communicate the relationships between
similar
chemical species.
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IELTS academic Hierarchical cluster analysis (HCA) is a multivariate unsupervised

Academic
  American English
1 paragraphs
164 words
5.5
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