The problem of sequence clustering is one of the fundamental research topics. However, most algorithms are dedicated to the case of single-label clustering.
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The two-phase hybrid method combines the strengths of the hierarchical and the partition clustering. Phase I of the hybrid method uses the hierarchical ...
We have recently proposed a method, based on artificial neural networks (ANNs) to cluster protein sequences into families according to their degree of sequence ...
We propose an innovative hybrid method for clustering categorical sequential data. ... The algorithm combines model-based and hierarchical clustering approach.
The two-phase hybrid method combines the strengths of the hierarchical and the partition clustering. Phase I of the hybrid method uses the hierarchical ...
The first stage uses a hybrid clustering technique to produce a series of clusterings of various sizes (randomly selected). The key step in this stage is to ...
May 13, 2022 · An EM-MM hybrid algorithm is derived for maximizing the data likelihood and clustering the cells.
In this paper we propose an innovative method for clustering categorical sequential data. Using a hybrid algorithm, we develop a two-step procedure which allows ...
Missing: Sequence | Show results with:Sequence
The two-phase hybrid method combines the strengths of the hierarchical and the partition clustering. Phase I of the hybrid method uses the hierarchical ...
Mar 22, 2022 · An EM-MM hybrid algorithm is derived for maximizing the data likelihood and clustering the cells.