- Look up
clustering in Wiktionary, the free dictionary.
Clustering can
refer to the following: In computing:
Computer cluster, the
technique of linking...
- k-means
clustering is a
method of
vector quantization,
originally from
signal processing, that aims to
partition n
observations into k
clusters in which...
-
greedy manner. The
results of
hierarchical clustering are
usually presented in a dendrogram.
Hierarchical clustering has the
distinct advantage that any valid...
-
statistical distributions.
Clustering can
therefore be
formulated as a multi-objective
optimization problem. The
appropriate clustering algorithm and parameter...
- have a low or
negative value, then the
clustering configuration may have too many or too few
clusters. A
clustering with an
average silhouette width of over...
- of the
clustering in the network,
whereas the
local gives an
indication of the
extent of "
clustering" of a
single node. The
local clustering coefficient...
-
clustering (also
referred to as soft
clustering or soft k-means) is a form of
clustering in
which each data
point can
belong to more than one
cluster...
- j{\displaystyle j}. The
general approach to
spectral clustering is to use a
standard clustering method (there are many such methods, k-means is discussed...
-
basis for
clustering, and ways to
choose the
number of
clusters, to
choose the best
clustering model, to ****ess the
uncertainty of the
clustering, and to...
- single-linkage
clustering is one of
several methods of
hierarchical clustering. It is
based on
grouping clusters in bottom-up
fashion (agglomerative
clustering), at...
