Scale Partitioning by Incremental Nested Entropy. You supply a measure and an orientation; everything after them is computed.
Read the user guide first — worked scenarios, runnable section by section. The pages below are the reference.
spine | Apply SPINE to raw data in one call. |
spineSummary | Say in words what a partition found. |
spineCompare | Run the same data under several measures and see whether they agree. |
spineMeasure | Turn user data into a nonnegative measure for SPINE. |
spineDataPlot | Draw your data in the space it lives in, coloured by score. |
spinePlot | Show where a SPINE partition came from: the measure, and the profile. |
spineNetworkPlot | Draw a network with its nodes coloured by SPINE score. |
spineScoreMap | Sequential colormap for SPINE scores. |
spineVersion | Report which copy of SPINE is running, and what it is. |
Choosing a measure is the piece to read before applying SPINE to your own problem.
Generated by matlab/doc/buildDocs.m. Every example on these pages was executed during the build.