Clustering student personality We clustered the Big five personality traits and good-at-math scales using k-means clustering. Figure 2 shows an elbow plot that indicates the transition of cluster information over cluster numbers from 1 to 10. From the figure, we can observe that the optimal clus...
Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance. Explainable AI (XAI) methods can help to increase transparency, yet often lack preci
For these nodes, we set uik≥ϵ if i∈Ik (positive response for the class), and uik′≤−ϵ if i∈Ik and k′≠k (negative output for the other classes). Under such constraints, we seek to minimise the multi-class functional [51] that contains the sum of normalised ratios :(4...
k-means clustering and CP profile plots based on the eSVM framework. We briefly discuss the significance of this algorithm. We have a high-dimensional input feature space and when we visualized it using the t-SNE method we found that the MPEA phases are non-separable...
(CAD) system, where stability is of utmost importance to earn the trust of medical professionals. In this paper, we propose a deterministic version of LIME. Instead of random perturbation, we utilize agglomerative Hierarchical Clustering (HC) to group the training data together and K-Nearest ...
To test this, we performed K-means clustering on PC1 and PC2 of the SHAP values that belong to the CRC subjects for each dataset. The number of clus- ters was chosen using the elbow method (see Additional file 2: Fig. S1). Figure 6 shows the resulting K-means clusters of CRC ...
equals 8,000 USD and the corresponding SHAP value is –0.2. This means that the fact that the borrower earns 8,000 USD per month decreases the predicted risk of credit default by 0.2.Footnote2One can aggregate SHAP values to provide global explanations: To this end, the average absolute con...
Fréchet means and Procrustes analysis in Wasserstein space. Bernoulli 2019, 25, 932–976. [Google Scholar] [CrossRef] Kravvaritis, D.C.; Yannacopoulos, A.N. Variational Methods in Nonlinear Analysis: With Applications in Optimization and Partial Differential Equations; Walter de Gruyter GmbH &...
The posture data for 1151 subjects were recorded by means of stereophotogrammetry. An expert-based classification of the subjects regarding the presence of hyperlordosis or hyperkyphosis was initially performed. Using a Gaussian progress classifier, the models were trained and interpreted using CFs. ...
Moreover, we show our pathway analysis and a dendrogram of the pathway through hierarchical clustering of the responsible genes. There are 16 responsible genes found using the Gini index, and CCT3 and KPNA2 show the highest mean decrease in Gini values. Among four classification algorithms, ...