A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
The paper challenges the validity of cluster validity measures in unsupervised learning.
The paper extends cluster validity indices for incremental analysis.
TDA improves FX clustering quality over traditional methods.
Paper presents a novel k-means clustering method using two distance measures for Gaussian data.
In this paper we introduce three methods for re-scaling data sets aiming at improving the likelihood of clustering validity indexes to return the true number of spherical Gaussian clusters with additional noise features. Our method obtains feature re-scaling factors taking into account the structure of a given data set…
A new clustering evaluation index based on density estimation.
StageNet improves health risk prediction by integrating disease stage information.
HD-BWDM improves clustering validation in high-dimensional data.
CARVE validates clustering results using resampling and stability analysis.
Enhances clustering quality evaluation in noisy data.
New k-means method handles random data better than traditional techniques.
iCVI-ARTMAP accelerates clustering with adaptive resonance theory and validity indices.