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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: AliClu - Temporal sequence alignment for clustering longitudinal clinical data

Fig. 1

The proposed AliClu approach. First, raw data is pre-processed to obtain PE sequences. Then, pairwise sequence alignment is performed and a similarity matrix S is obtained. Next, S is converted into a distance matrix D. Agglomerative clustering is then performed with this distance matrix D. Validation of the clustering results is accomplished via a bootstrapping approach. In the end, retrieved clusters are analysed by the clinicians

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