This SOCR HTML5 resource demonstrates:

1. t-distributed stochastic neighbor embedding (t-SNE) statistical method for manifold dimension reduction,
2. The TensorBoard machine learning platform, and
3. Hands-on Big Data Analytics activity using the UK Biobank data,
4. Interactive Visual Analytics using user-provided data.

Load the data as a TSV file of vectors, e.g., 4 cases in 5D:
0.1 0.2 0.3 0.4 0.5
0.2 0.3 0.4 0.5 0.6
0.2 0.3 0.4 0.5 0.6
0.2 0.3 0.4 0.5 0.6

See this example of the SOCR Country Ranking Data



Optionally, load a TSV file of labels/metadata, e.g., 4 cases in 2D (metadata). If there is more than one column, the first row must include column names.
Class Phenotype
A Patient
A Control
B Control
C Patient

See this example of the SOCR Top-30 Country Rank Indicator Labels. More details about these COuntry Ranking data are available here.

Video Demonstration using UKBB Data

You can see the complete UK Biobank activity here.