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clusters
The cluster is a group of observations with the common covariance matrix. The covariance matrix allows to express any combination of correlations among observations in cluster (including uncorrelated observations, where covariance matrix is diagonal). For explanation see Observation data and points.
In the database observations are stored in three tables:
obs
, coordinates
and vectors
.
Cluster’s covariance matrix is stored in table covmat
.
Every observation, vector or coordinate in database has to be in some cluster.
conf_id
is id of configuration which cluster belongs to.
ccluster
identifies a cluster within one configuration.
dim
and band
specify dimension and bandwidth of covariance matrix.
The bandwidth of the diagonal matrix is equal to 0 and a
fully-populated covariance matrix has a bandwidth of dim-1
(band
maximum possible value is dim-1
).
tag
specifies type of observations in cluster which also implies the table
where they are stored in.
obs
and height-differences
stand for obs
table,
coordinates
and vectors
stand for coordinates
table
and vectors
table respectively.
Observations, vectors and coordinates are identified by
configuration id (conf_id
), cluster id ccluster
and theirs index (indx
).
Observation index (indx
) has to be unique within observations
of one cluster (which belongs to one configuration).
The same applies for vectors and coordinates.
See also Set of observations.
Example (table contents):
conf_id|ccluster|dim|band|tag ----------------------------- 1 |1 |3 |0 |obs 1 |4 |4 |0 |obs |
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