16 citations · 37 across the 8 of their papers we have counts for
4 papers · 1 filter
A Distance-based Separability Measure for Internal Cluster Validation
Shuyue Guan, Murray Loew
To evaluate clustering results is a significant part of cluster analysis. Since there are no true class labels for clustering in typical unsupervised learning, many internal cluste…
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
Shuyue Guan, Murray Loew
For supervised learning models, the analysis of generalization ability (generalizability) is vital because the generalizability expresses how well a model will perform on unseen da…
An Internal Cluster Validity Index Using a Distance-based Separability Measure
Shuyue Guan, Murray Loew
To evaluate clustering results is a significant part of cluster analysis. There are no true class labels for clustering in typical unsupervised learning. Thus, a number of internal…
Data Separability for Neural Network Classifiers and the Development of a Separability Index
Shuyue Guan, Murray Loew, Hanseok Ko
In machine learning, the performance of a classifier depends on both the classifier model and the dataset. For a specific neural network classifier, the training process varies wit…