Fig. 3
From: WormTensor: a clustering method for time-series whole-brain activity data from C. elegans
Results of clustering with the optimal number of clusters utilizing t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP). a The clustering results of the cluster-based similarity partitioning algorithm (CSPA) with Euclidean distance. b The clustering results of multi-view clustering based on matrix integration using the HOOI algorithm (MC-MI-HOOI) with Euclidean distance. c The clustering results of CSPA with modified shape-based distance (mSBD). d The clustering results of WormTensor, utilizing MC-MI-HOOI with mSBD