Add to ORKGHierarchical clustering of probabilistic tractograms encodes the information of the connectivity structure at all granularity levels in a hierarchical tree or dendrogram. It might be the key to whole-brain connectivity based parcellation, where the correct number of clusters is unknown and depends on the desired granularity. The interpretation of the resulting dendrogram is not simple, due to outliers and the size of the dataset encoded, among other reasons. In this study a fast, fully hierarchical bottom-up algorithm is presented, intelligent processing steps are implemented in order to ease the information extraction process (successfully enabling better performance of tree-partitioning algorithms) and a method for whole-brain connectivit...
We develop an algorithm that is fast and scalable in the detection of a nested partition extracted f...
Clustering is a key component of most detectors of cyber-attacks, and increasingly, for both theoret...
International audienceThe classical representation of a binary tree generated by a hierarchical clus...
In modern neuroscience there is general agreement that brain function relies on networks and that co...
In modern neuroscience there is general agreement that brain function relies on networks and that co...
In computational neuroimaging, brain parcellation methods subdivide the brain into individual region...
One of the most promising avenues for compiling connectivity data originates from the notion that in...
<p><b>(A)</b> The algorithm involves performing a hierarchical clustering analysis with all voxels i...
Hierarchical clustering algorithms are typically more effective in detecting the true clustering str...
International audienceThe human brain is arranged in areas based on criteria such as cytoarchitectur...
Hierarchical Clustering. Hierarchical clustering methods construct a dendro-gram of the input datase...
This paper introduces an innovative approach for detecting a sub optimal partition starting from the...
A dendrogram is often used to display the results from hierarchical clustering; however, the order o...
This work introduces an alternative representation for large dimensional data sets. Instead of using...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
We develop an algorithm that is fast and scalable in the detection of a nested partition extracted f...
Clustering is a key component of most detectors of cyber-attacks, and increasingly, for both theoret...
International audienceThe classical representation of a binary tree generated by a hierarchical clus...
In modern neuroscience there is general agreement that brain function relies on networks and that co...
In modern neuroscience there is general agreement that brain function relies on networks and that co...
In computational neuroimaging, brain parcellation methods subdivide the brain into individual region...
One of the most promising avenues for compiling connectivity data originates from the notion that in...
<p><b>(A)</b> The algorithm involves performing a hierarchical clustering analysis with all voxels i...
Hierarchical clustering algorithms are typically more effective in detecting the true clustering str...
International audienceThe human brain is arranged in areas based on criteria such as cytoarchitectur...
Hierarchical Clustering. Hierarchical clustering methods construct a dendro-gram of the input datase...
This paper introduces an innovative approach for detecting a sub optimal partition starting from the...
A dendrogram is often used to display the results from hierarchical clustering; however, the order o...
This work introduces an alternative representation for large dimensional data sets. Instead of using...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
We develop an algorithm that is fast and scalable in the detection of a nested partition extracted f...
Clustering is a key component of most detectors of cyber-attacks, and increasingly, for both theoret...
International audienceThe classical representation of a binary tree generated by a hierarchical clus...