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Journal:   SIGNAL AND DATA PROCESSING   2010 , Volume - , Number 1 (SERIAL 13); Page(s) 19 To 32.
 
Paper: 

Cluster Ensemble Based On A Subset Of Primary Clusters
 
 
Author(s):  Alizadeh Hosein, Moshki Mohsen, Parvin Hamid, Minaei Bidgoli Behrouz
 
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Abstract: 
Most of the recent studies have tried to create diversity in primary results and then applied a consensus function over all the obtained results to combine the weak partitions. In this paper a clustering ensemble method is proposed which is based on a subset of primary clusters. The main idea behind this method is using more stable clusters in the ensemble. The stability is applied as a goodness measure of the clusters. The clusters which satisfy a threshold of this measure are selected to participate in the ensemble. For combining the chosen clusters, a co-association based consensus function is applied. A new EAC based method which is called Extended Evidence Accumulation Clustering, EEAC, is proposed for constructing the Co-association Matrix from the subset of clusters. The proposed method is evaluated on five different UCI repository data sets. The empirical studies show the significant improvement of the proposed method in comparison with other ones.
 
Keyword(s): CLUSTERING ENSEMBLE, CLUSTER STABILITY, MUTUAL INFORMATION, CO-ASSOCIATION MATRIX
 
 
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APA: Copy

ALIZADEH, H., & MOSHKI, M., & PARVIN, H., & MINAEI BIDGOLI, B. (2010). CLUSTER ENSEMBLE BASED ON A SUBSET OF PRIMARY CLUSTERS. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 13)), 19-32. https://www.sid.ir/en/journal/ViewPaper.aspx?id=291236



Vancouver: Copy

ALIZADEH HOSEIN, MOSHKI MOHSEN, PARVIN HAMID, MINAEI BIDGOLI BEHROUZ. CLUSTER ENSEMBLE BASED ON A SUBSET OF PRIMARY CLUSTERS. SIGNAL AND DATA PROCESSING. 2010 [cited 2022June29];-(1 (SERIAL 13)):19-32. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=291236



IEEE: Copy

ALIZADEH, H., MOSHKI, M., PARVIN, H., MINAEI BIDGOLI, B., 2010. CLUSTER ENSEMBLE BASED ON A SUBSET OF PRIMARY CLUSTERS. SIGNAL AND DATA PROCESSING, [online] -(1 (SERIAL 13)), pp.19-32. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=291236.
 
 
Persian Abstract Yearly Visit 137
 
 
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