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2109.05180
Cited By
A Novel Intrinsic Measure of Data Separability
11 September 2021
Shuyue Guan
Murray H. Loew
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Papers citing
"A Novel Intrinsic Measure of Data Separability"
8 / 8 papers shown
Robust Support Vector Machines for Imbalanced and Noisy Data via Benders Decomposition
Seyed Mojtaba Mohasel
Hamidreza Koosha
224
2
0
19 Mar 2025
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles
Shahnawaz Ahmed
Maria Schuld
360
124
0
11 Mar 2024
Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD)
C. Metzner
Achim Schilling
Patrick Krauss
161
1
0
28 Nov 2023
Several fitness functions and entanglement gates in quantum kernel generation
Quantum Machine Intelligence (QMI), 2023
Haiyan Wang
203
5
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
320
1
0
24 May 2023
A classification performance evaluation measure considering data separability
Lingyan Xue
Xinyu Zhang
Weidong Jiang
K. Huo
104
2
0
10 Nov 2022
Enhancing cluster analysis via topological manifold learning
Data mining and knowledge discovery (DMKD), 2022
Moritz Herrmann
Daniyal Kazempour
Fabian Scheipl
Peer Kröger
201
15
0
01 Jul 2022
A geometric framework for outlier detection in high-dimensional data
Moritz Herrmann
Florian Pfisterer
Fabian Scheipl
193
5
0
01 Jul 2022
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