1 Kristina15

Putative synapse locations were obtained by Anish Simhal.
Around each synapse across each channel the sum of pixel intensities within an 11x11x11 cube are calculated to produce a feature vector. These feature vectors are combined into a data matrix.
The data matrix is then z-scored before running it through meda.

We did this for samples of size 1,000 and 10,000.

The locations used were from the top half of the entire dataset as the rest of the locations were still being downloaded.

1.1 Sample size 1,000 (Left) and 10,000 (Right)

1.1.1 1-d Heatmap
1k 10k

1.1.2 Location plots
1k 10k

1.1.3 Outliers as given by randomForest
1k 10k

1.1.4 Correlation Matrix
1k 10k

1.1.5 Cumulative Variance with Elbows
1k 10k

1.1.6 Paired Hex-binned plot
1k 10k

1.1.7 Hierarchical GMM Classifications
1k 10k

1.1.8 Hierarchical GMM Dendrogram
1k 10k

1.1.9 Stacked Cluster Means plot
1k 10k

1.1.10 Cluster Means