Display
Name
|
Variable
Name
|
I/O
and
Type
|
Default
Value
|
Description
|
| Variables
|
irng
|
Input
Range
|
<active>
|
Select data range for the hierarchical cluster analysis. Note that beginning with Origin 2020b, there is a shortened syntax that follows the form [Book]Sheet!(N1:N2), N1 = the beginning column index and N2 being the ending column index in a contiguous range of columns. More complex strings from non-contiguous data of the form [Book]Sheet!([Book]Sheet!N1:N2,[Book]Sheet!N3:N4) are also possible.
|
| Observation Labels
|
label
|
Input
Range
|
<optional>
|
Select labels for observations. If labels are chosen, they will be shown as ticks of X axis in the dendrogram. This option is enabled only when obj is Observations.
|
| Cluster
|
obj
|
Input
int
|
0
|
Specify the type of objects to cluster.
Option list:
- Observations
- Cluster observations.
- Variables
- Cluster variables.
|
| Cluster Method
|
link
|
Input
int
|
2
|
Select the linkage method to calculate the distance between a cluster and a new cluster. Values start from 0, but string values (such as near) are recommended for clarity.
Option list:
- near:Nearest neighbor
- The minimum of two distances between a cluster and two clusters merged to a new cluster. Also called single linkage.
- furth:Furthest neighbor
- The maximum of distances between a cluster and two clusters merged to a new cluster. Also called complete linkage.
- group:Group average
- The mean of two distances between a cluster and two clusters merged to a new cluster.
- centroid:Centroid
- Clusters are produced that maximize the distance between the centers of clusters.
- median:Median
- The median distance between an item in one cluster and an item in the other cluster.
- ward:Ward
- Clusters are produced that minimize the within-cluster variance.
To learn more about linkage methods, see the algorithm of linkage methods.
|
| Distance Type
|
dist1
|
Input
int
|
0
|
Select a distance type in the hierarchical cluster analysis when obj is Observations. Values start from 0, but string values (such as euc) are recommended for clarity.
Option list:
- euc:Euclidean
- The square root of the sum of the squared differences between two observations.
- squ:Squared Euclidean
- The sum of the squared differences between two observations.
- city:City block
- The sum of the absolute differences between two observations. Also known as Manhattan distance.
|
| Distance Type
|
dist2
|
Input
int
|
0
|
Select a distance type in the hierarchical cluster analysis when obj is Variables. Values start from 0, but string values (such as corr) are recommended for clarity.
Option list:
- corr:Correlation
- The difference between 1 and the correlation of two variables.
- abs:Absolute correlation
- The difference between 1 and the absolute correlation of two variables.
|
| Standardize Variables
|
std
|
Input
int
|
0
|
Specify the method to standardize variables. It is available only when obj is Observations. Values start from 0, but string values (such as snd) are recommended for clarity.
Option list:
- none:None
- Variables are not standardized.
- snd:Z scores (standardize to N(0, 1))
- Variables are transformed to the standard normal distribution.
- range:Normalize to (0, 1)
- Variable are transformed to the range of 0 and 1
|
| Number of Clusters
|
number
|
Input
int
|
1
|
Specify the number of clusters.
|
| Find Clustroid by
|
stat
|
Input
int
|
0
|
Specify the method to find the clustroid: the most/least representative variable/observation.
Option list:
- sd:Sum of distances
- Find Clustroid using the sum of distances measured from all other observations/variables in the cluster.
- md:Maximum distance
- Find Clustroid using the Maximum distance among all distances measured from other observations/variables in the cluster.
- ssd:Sum of squares of distances
- Find Clustroid using the sum of the squares of distances measured from all other observations/variables in the cluster.
|
| Dissimilarity Matrix
|
dissimilarity
|
Input
int
|
0
|
Specify whether to output the distance matrix. For a large number of objects, the distance matrix will be shown in a sheet instead of the report. 1 = Yes, 0 = No.
|
| Cluster Stages
|
stage
|
Input
int
|
1
|
Specify whether to output the cluster stages. 1 = Yes, 0 = No.
|
| Cluster Center
|
center
|
Input
int
|
0
|
Specify whether to calculate cluster centers. It is available only when obj is Observations. 1 = Yes, 0 = No.
|
| Distance between Cluster Centers
|
distc2c
|
Input
int
|
0
|
Specify whether to calculate the distances between cluster centers. It is available only when obj is Observations. 1 = Yes, 0 = No.
|
| Distance between Observations and Clusters
|
disto2c
|
Input
int
|
0
|
Specify whether to calculate the distance between each observation and cluster centers. It is available only when obj is Observations. 1 = Yes, 0 = No.
|
| Dendrogram
|
dendrogram
|
Input
int
|
1
|
Specify whether to show the dendrogram. 1 = Yes, 0 = No.
|
| Show Dendrogram
|
ngraph
|
Input
int
|
0
|
Specify whether to show the dendrogram in a single graph or in separate graphs for clusters. It is enabled only when dendrogram is 1. Values start from 0.
Option list:
- Show the dendrogram in a single graph. Different clusters are shown in different colors.
- Show the dendrogram in separate graphs for clusters. Each graph represents a cluster.
|
| Orientation
|
orient
|
Input
int
|
0
|
Specify the orientation of the dendrogram. Enabled only when dendrogram is Yes.
Option List:
- 0: Vertical
- Plot Dendrogram vertically.
- 1: Horizontal
- Plot Dendrogram horizontally.
- 2: Circular
- Plot circular Dendrogram
|
| Cluster Report
|
rt
|
Output
ReportTree
|
<new>
|
Specify the sheet for the hierarchical cluster analysis report.
|
| Cluster Membership
|
rd
|
Output
ReportData
|
<new>
|
Specify the sheet for cluster membership and distance between observations and clusters.
|
| Distance Matrix
|
rddist
|
Output
ReportData
|
<new>
|
Specify the sheet for distance matrix when number of objects to cluster is very large. This variable is hidden in the dialog.
|
| Plot Data
|
rdplot
|
Output
ReportData
|
<new>
|
Specify the sheet for plot data. This variable is hidden in the dialog.
|
| Clustroid Info
|
clustroid
|
Input
int
|
1
|
Specify the method to find the Clustroid Info: the most/least representative variable/observation
|