Data Similarity Map

Data similarity map is a visual representation that shows the degree of similarity between data points in a dataset. It allows you to quickly understand how closely related or connected different data

Find it in Dataset -> Overview

Select Data

Use b-box or polygon tool to select data on the map.

View Selected Data

Selected data can be displayed and save as a new dataset.

Learn more tech details, see these two open source repos:

  • A PyTorch implementation of MobileNetV3 is a convolutional neural network that is tuned to mobile phone CPUs through a combination of hardware-aware network architecture search (NAS) complemented by the NetAdapt algorithm, and then subsequently improved through novel architecture advances.

  • openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE), a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings, massive speed improvements, enabling t-SNE to scale to millions of data points and various tricks to improve global alignment of the resulting visualizations.

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