calcSWFCCentroids: Calculate the centroids of SFCM
In geocmeans: Implementing Methods for Spatial Fuzzy Unsupervised Classification
calcSWFCCentroids R Documentation
Calculate the centroids of SFCM
Description
Calculate the new centroids of the clusters based on the membership matrix for SFCM
Usage
calcSWFCCentroids(data, wdata, belongmatrix, m, alpha)
Arguments
data
A matrix representing the observed data with n rows and p columns
wdata
A matrix representing the lagged observed data with nrows and p columns
belongmatrix
A n X k matrix giving for each observation n, its
probability to belong to the cluster k
m
An integer representing the fuzziness degree
alpha
A float representing the weight of the space in the analysis (0
is a typical fuzzy-c-mean algorithm, 1 is balanced between the two
dimensions, 2 is twice the weight for space)
Value
A n X k matrix representing the belonging probabilities of each
observation to each cluster
geocmeans documentation built on Sept. 12, 2023, 9:06 a.m.
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| calcSWFCCentroids | R Documentation |
Calculate the centroids of SFCM
Description
Calculate the new centroids of the clusters based on the membership matrix for SFCM
Usage
calcSWFCCentroids(data, wdata, belongmatrix, m, alpha)
Arguments
data |
A matrix representing the observed data with n rows and p columns |
wdata |
A matrix representing the lagged observed data with nrows and p columns |
belongmatrix |
A n X k matrix giving for each observation n, its probability to belong to the cluster k |
m |
An integer representing the fuzziness degree |
alpha |
A float representing the weight of the space in the analysis (0 is a typical fuzzy-c-mean algorithm, 1 is balanced between the two dimensions, 2 is twice the weight for space) |
Value
A n X k matrix representing the belonging probabilities of each observation to each cluster
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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