karunkannan R-RerF issues

karunkannan / 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