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karunkannan
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R-RerF
This is the R implementation of Randomer Forest.
Apache License 2.0
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sprint 1 general comments from jovo
#19
jovo
opened
5 years ago
1
Sprint 3 - Perform multimodal clustering with additional data type features, and incorporate multi-modal function to R-RerF if useful
#18
karunkannan
opened
5 years ago
0
Sprint 2 - Stratify and recluster data based on phenotypic data and validate clusters
#17
karunkannan
opened
5 years ago
0
Cluster graph data (Spectral Clustering and Gaussian Mixture) and generate features (PCA and spectral embedding)
#16
karunkannan
opened
5 years ago
2
Ways to verify diagnoses (Vivek)
#15
eigenvivek
opened
5 years ago
0
ROC analysis of identified features (Vivek)
#14
eigenvivek
opened
5 years ago
0
Sprint 3 - Use multimodal clustering combined with randomer forest to better identify disorders and distinguish them from each other
#13
GaneshArvapalli
opened
5 years ago
0
Sprint 2 - Further analyze original clustered data and potentially improve previous clustering algorithms (aka clean up sprint 1).
#12
GaneshArvapalli
opened
5 years ago
0
Use graph output from ndgm on Healthy Brain Network MRI data to perform feature learning with Agglomerative Clustering and Gaussian Mixture Models.
#11
GaneshArvapalli
opened
5 years ago
2
Create .edgelist processing pipeline (Vivek)
#10
eigenvivek
opened
5 years ago
4
Sprint 2 - Graph cluster outputs from sprint 1 algorithms with respect to phenotypic data and calculate the silhouette coefficient to validate clusters.
#9
pfrank7
opened
5 years ago
0
Sprint 1 - Develop and run Mini Batch K-Means and Affinity Propagation and compute eigenvector centrality on ndgm graph dataset.
#8
pfrank7
opened
5 years ago
0
Sprint 3 - Add Multi-modal clustering capabilities to R-Rerf or an algorithm produced in Sprint 1
#7
pfrank7
opened
5 years ago
0
Sprint 3 - Implement multi-modal clustering to cluster based on MRI scans and voice data
#6
alemmer1
opened
5 years ago
0
Sprint 2 - Use VI and NVI to measure the qualities of the clusters and analyze the clusters to determine shared phenotypes
#5
alemmer1
opened
5 years ago
0
Sprint 1 - Implement MeanShift and Agglomerative Clustering algorithms to get clusters from the ndmg output and use NMF to get features from the clusters
#4
alemmer1
opened
5 years ago
1
Sprint 3 - Implement multi-modal clustering using MRI and EEG data
#3
pmyers16
opened
5 years ago
0
Sprint 2 - Evaluate clusters using standard metrics such as silhouette coefficient and normalized mutual info score
#2
pmyers16
opened
5 years ago
0
Sprint 1 - Implement DBSCAN and Birch algorithms to generate clusters from ndmg data. Extract features using PCA and Hessian Eigenmapping
#1
pmyers16
opened
5 years ago
1