View Waveform IDA (public)
























- Summary
The Waveform data set from the IDA Benchmark repository.
- License
- PDDL
- Dependencies
- Tags
- IDA_Benchmark_Repository
- Attribute Types
- Download
-
# Instances: 5000 / # Attributes: 22
HDF5 (869.9 KB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
- Original Data Format
- h5
- Name
- waveform_data
- Version mldata
- 0
- Comment
matlab
- Names
- Data (first 10 data points)
-1.0 -3.31... -0.66... 1.71... 1.46... 1.84... 1.35... 1.12... 0.52... 0.35... ... -1.0 -3.22... 0.88... 0.17... 1.50... 0.87... 1.12... 1.01... 0.26... 0.88... ... -1.0 -2.97... -0.18... -0.95... -0.36... 0.26... 0.15... -0.82... -1.27... -1.58... ... 1.0 -2.92... -0.42... -0.69... -1.12... -0.42... 0.75... -0.01... 0.06... 1.09... ... -1.0 -2.92... -0.39... -1.02... -0.25... -0.28... -0.65... -0.31... -0.01... -0.15... ... 1.0 -2.92... -0.11... -1.76... 0.62... 0.02... 1.71... 0.23... 1.54... 0.87... ... 1.0 -2.92... 0.65... 0.09... 1.17... 1.16... 0.99... 0.83... 1.55... 0.49... ... -1.0 -2.90... 0.66... 0.14... -0.54... -0.57... -0.73... -1.42... -0.76... -1.19... ... 1.0 -2.81... 0.39... 0.45... 0.84... 1.32... 1.46... 1.50... 2.04... 1.33... ... 1.0 -2.79... -0.31... 0.54... -0.68... 0.92... 0.40... 0.35... 1.20... 1.44... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
(No information yet)
- URLs
- http://www.ics.uci.edu/~mlearn/MLSummary.html
- Publications
- Data Source
- Measurement Details
modifications of the original data
training data has now zero mean and standard deviation one
- Usage Scenario
- revision 1
- by sonne on 2010-04-28 16:18
- revision 2
- by sonne on 2011-09-14 16:22
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Tasks defined on dataset Waveform IDA
- Waveform IDA Classification 2010-11-24 20:02
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.