View Twonorm IDA (public)
























- Summary
The Twonorm data set from the IDA Benchmark repository.
- License
- PDDL
- Dependencies
- Tags
- IDA_Benchmark_Repository
- Attribute Types
- Download
-
# Instances: 7400 / # Attributes: 21
HDF5 (1.2 MB) 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
- twonorm_data
- Version mldata
- 0
- Comment
matlab
- Names
- Data (first 10 data points)
-1.0 -3.92... -0.46... -0.42... 0.72... 0.23... -1.06... -0.98... -0.68... -1.52... ... 1.0 -3.71... 1.82... 0.83... 1.22... 1.06... 0.03... -1.23... 0.30... -0.22... ... -1.0 -3.51... 0.11... -2.19... 0.29... -1.34... -2.40... 0.85... 0.19... 0.15... ... -1.0 -3.21... -0.40... 1.33... -0.93... -0.30... -0.29... -0.02... -0.04... 0.53... ... -1.0 -3.17... -0.35... 0.46... 0.27... -0.82... -0.86... 0.82... 1.54... -0.53... ... -1.0 -3.12... -0.48... -0.47... -1.67... 1.13... -1.71... -0.97... 0.77... -0.27... ... -1.0 -3.07... -1.26... 0.29... -0.98... 1.06... -1.03... -0.80... -1.04... 0.09... ... -1.0 -3.02... 1.13... 1.53... -1.61... -1.74... 0.74... -0.22... -1.32... -3.46... ... -1.0 -2.99... -0.03... -1.65... 0.41... -0.20... 0.15... -1.50... -0.80... -1.20... ... -1.0 -2.89... -1.56... -0.25... 0.21... -2.14... -0.73... -0.56... -0.51... -0.40... ... ... ... ... ... ... ... ... ... ... ... ...
- 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 16:15
- revision 2
- by sonne on 2011-09-14 16:22
No one has posted any comments yet. Perhaps you would like to be the first?
Leave a comment
To post a comment, please sign in.This item was downloaded 10412 times and viewed 1212 times.
Tasks defined on dataset Twonorm IDA
- Twonorm IDA Classification 2010-11-24 19:04
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/.