K-Spectral Centroid: Cluster Time Series by Shape, in Python This algorithm is first introduced in the WSDM 2011 paper, "Patterns of Temporal Variation in Online Media" by Jaewon Yang and Jure ...

Here is a simple technique (actually a demonstration of the algorithm) for clustering data using k-Means Clustering method (with centroid-based). This code (for now) uses iterative method but doesn't ...

Given the findings in three computational biology applications that centroid estimators substantially improve prediction of ground-truth reference sets without modification of the underlying ...

LUT-NN integrates two major novel techniques: (1) differentiable centroid learning through backpropagation, which adapts three levels of approximation to minimize the accuracy impact by centroids; (2) ...

THE usual text-book formula for the radial distance of the centroid of a circular arc of radius r and length 2 ra, may be converted into a useful result by expressing the position of the centroid ...

To improve immunity against process gradients, a common centroid constraint, in which every pair of capacitors should be placed symmetrically with respect to a common center point, is widely used.

Robust routing protocols are required to maintain a long network lifetime and achieve higher energy utilization. In this paper, we propose a new energy-efficient centroid-based routing protocol (EECRP ...