Abstract: In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the ...

Abstract: Along with the abundant appearance of the interval-valued time series (ITS), the study on ITS clustering, especially shape-based ITS clustering, is becoming increasingly important. As an ...

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A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

As can be seen from Figure 5, the particle swarm algorithm can obtain better consistent results with fewer iterations, indicating that the PSO + AHP model performs a fast adaptive globalized optimal ...

ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...

Since its molecular structure was deduced in the 1950s, DNA has been hailed by many biologists as the secret of life. They’ve read and studied the information stored in the DNA found in the cells of ...

Cell–extracellular matrix (ECM) interactions are mediated through specialized subcellular sites that contain specific adhesion receptors, cytoskeletal elements and a wide variety of inter-connecting ...