Description: 这是一个关于FCM,GG,GK算法的源码，里面包含PC,PE,XB聚类有效性度量的matlab源码，并含有程序说明文档-This is the one on FCM, GG, GK algorithm source code, which contains PC, PE, XB cluster validity measure of the matlab source code, and contains procedures for documentation Platform: |
Size: 2100224 |
Author:yyifang |
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Description: A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault classification. In the algorithm, the problem of fault
identification is translated to a constrained optimized
clustering problem. Using heuristic search of colony can find
good solutions. And according to the information content of
cluster center, it could merger surrounding data together to
cause clustering identification. The algorithm may identify
fuzzy clustering numbers and initial clustering center. It can
also prevent data classification from causing some errors.
Thus, applying in fault diagnosis shows validity of computing
and credibility of identification results. Platform: |
Size: 273408 |
Author:rishi |
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Description: This paper presents a new cluster validity index for nding a suitable number of
fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains
exponential compactness and separation measures. These measures indicate homogeneity
within clusters and heterogeneity between clusters, respectively. Moreover, a fuzzy c-mean
algorithm is used for fuzzy clustering with crisp data, and a fuzzy k-numbers clustering is
used for clustering with fuzzy data. In comparison to other indices, it is evident that the proposed index is more e ffective and robust under
di fferent conditions of data sets, such as noisy environments and large data sets. Platform: |
Size: 3467264 |
Author:m |
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Description: The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine validity_Index.m is designed to use them.
This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox.
i) External validity indices when true class labels are known:
Rand index
Adjusted Rand index
Mirkin index
Hubert index
ii) Internal validity indices when true class labels are unknown:
Silhouette
Davies-Bouldin
Calinski-Harabasz
Krzanowski-Lai
Hartigan
weighted inter- to intra-cluster ratio
Homogeneity
Separation
iii) Others
Error rate (compared with true labels)
System Evolution: it is used to estimate the number of clusters and give separable degrees between clusters.-The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine validity_Index.m is designed to use them.
This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox.
i) External validity indices when true class labels are known:
Rand index
Adjusted Rand index
Mirkin index
Hubert index
ii) Internal validity indices when true class labels are unknown:
Silhouette
Davies-Bouldin
Calinski-Harabasz
Krzanowski-Lai
Hartigan
weighted inter- to intra-cluster ratio
Homogeneity
Separation
iii) Others
Error rate (compared with true labels)
System Evolution: it is used to estimate the number of clusters and give separable degrees between clusters. Platform: |
Size: 36864 |
Author:taqwa |
Hits:
Search - validity cluster