Figure 5From: Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor dataClassifier results for Subj B. Dendrogram, results of the LDA, and scatter plot of 1st and 2nd principal components are shown for Subj B. The scatter plot shows that while the clusters associated with walking up stairs and walking down stairs are clearly separated, the clusters associated with the other motor tasks significantly overlap. This is consistently shown, but in a more quantitative way, by the dendrogram that also suggests a strategy for merging clusters. When such strategy is adopted and an LDA algorithm is used, sensitivity and misclassification improve as shown by barplots. Dotted lines in the barplots are indicative of the mean value of sensitivity and misclassification across tasks.Back to article page