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......@@ -13,29 +13,18 @@ SparkIsomap is a tool to efficiently execute Isomap for learning manifolds from
SparkIsomap is entirely self-contained in file SparkIsomap.py. When executing SparkIsomap, provide the following command line parameters:
-f Input data. (.tsv format)
-o Output file name.
-e Spark event log directory.
-C Spark Checkpoint directory.
-b Submatrix block size.
-p Number of partitions.
-n Number of points.
-D Input data dimensionality.
-k Neighborhood size.
-d Reduced dimensionality.
-l Maximum iterations for power iteration.
-t Convergence threshold for power iteration. (Provide EXPONENT, such that 10^-EXPONENT is convergence threshold.)
* -f Input data. (.tsv format)
* -o Output file name.
* -e Spark event log directory.
* -C Spark Checkpoint directory.
* -b Submatrix block size.
* -p Number of partitions.
* -n Number of points.
* -D Input data dimensionality.
* -k Neighborhood size.
* -d Reduced dimensionality.
* -l Maximum iterations for power iteration.
* -t Convergence threshold for power iteration. (Provide EXPONENT, such that 10^-EXPONENT is convergence threshold.)
Example invocation:
```
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