A Novel Intrinsic Measure of Data Separability

11 September 2021

Papers citing "A Novel Intrinsic Measure of Data Separability"

8 / 8 papers shown

Title
Robust Support Vector Machines for Imbalanced and Noisy Data via Benders Decomposition Seyed Mojtaba Mohasel Hamidreza Koosha 67 2 0 19 Mar 2025
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 42 64 0 11 Mar 2024
Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD) C. Metzner Achim Schilling Patrick Krauss 20 1 0 28 Nov 2023
Several fitness functions and entanglement gates in quantum kernel generation Haiyan Wang 24 3 0 22 Aug 2023
Estimating class separability of text embeddings with persistent homology Kostis Gourgoulias Najah F. Ghalyan Maxime Labonne Yash Satsangi Sean J. Moran Joseph Sabelja 32 0 0 24 May 2023
A classification performance evaluation measure considering data separability Lingyan Xue Xinyu Zhang Weidong Jiang K. Huo 11 2 0 10 Nov 2022
Enhancing cluster analysis via topological manifold learning Moritz Herrmann Daniyal Kazempour Fabian Scheipl Peer Kröger 20 8 0 01 Jul 2022
A geometric framework for outlier detection in high-dimensional data Moritz Herrmann Florian Pfisterer Fabian Scheipl 26 3 0 01 Jul 2022