hypertools
0.5
API
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Tutorials
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How to use
HyperTools
Plot
Analyze
Normalize
Reduce
Align
Cluster
DataGeometry Objects
Plotting text
How to use
HyperTools
¶
Plot
¶
Plotting
Import Hypertools and other libraries for tutorial
Load your data
Plot with default settings
Plot in 2D
Using other dimensionality reduction algorithms
Coloring by hue
Interpolating missing data
Labeling plotted points
Data Clustering
Normalization
Aligning datasets with different coordinate systems
Saving
Plotting text using semantic models
Analyze
¶
Analyze
Import packages
Load your data
Normalization
Normalize and reduce
Normalize, reduce, and align
Normalize
¶
Normalization
Import packages
Generate synthetic data
Visualize the data
Normalizing (Specified Cols or Rows)
Reduce
¶
Dimensionality reduction
Import Hypertools
Load your data
Reduce one array
Reduce list of arrays
Reduce list of arrays (TSNE)
Reduce to specified number of dimensions
Reduce list of arrays with specific parameters
Align
¶
Alignment
Import Hypertools
Load your data
Visualize unaligned data
Aligning data with Hyperalignment
Aligning data with the Shared Response Model
Cluster
¶
Clustering with Hypertools
Import Packages
Load your data
Obtain cluster labels
Specify number of cluster labels
Different clustering models
DataGeometry Objects
¶
DataGeometry objects (
geo
)
Import Hypertools
Load your data
Plot it
Exploring the geo
Plotting with geos
Tranforming data using geos
Saving geos
Plotting text
¶
Visualizing text
Visualizing NIPS papers
Visualizing Wikipedia pages
Visualizing State of the Union Addresses
Changing the reduction model
Defining a corpus