Update README.md

Author: FrancisTong

README.md

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 # scatseisnet
 
+Deep scattering transform on segmented time series.
+
+  This program contains a series of command-line tools for clustering
+  continuous time series with a deep scattering network. The following sub-
+  commands must be run in a specific order from the continuous data to the
+  cluster results.
+
+  1. The inventorize command lists and selects the data based on usual meta
+  parameters (sampling rate, duration, channels) and stores the relevant
+  datapaths into an inventory file. This first command helps explore the data
+  coverage in time, selecting appropriate time segments, and running the
+  remaining steps on the actual data.
+
+  2. The transform command runs the deep scattering transform on the segmented
+  time series and stores the scattering coefficients for later feature
+  extraction.
+
+  3. With the features command, the large-dimensional scattering coefficients
+  are reduced to a low-dimensional space which dimensions are considered
+  features here. These features are used in the clustering step next.
+
+  4. The command calculates the linkage matrix that helps cluster the data
+  based on some criteria of similarity (a metric and a method). Once this
+  matrix is calculated, the clusters are extracted for further analyses.
+
+  Created in May 2021 by Leonard Seydoux and Randall Balestriero.