review: review
In ggbggbggb/ISR: The Iterated Score Regression-Based Estimation Algorithm
Description
Usage
Format
Details
Source
References
Examples
Description
Travel reviews
Usage
1
data("review")
Format
The format is:
num [1:980, 1:10] 0.93 1.02 1.22 0.45 0.51 0.99 0.9 0.74 1.12 0.7 ...
- attr(*, "dimnames")=List of 2
..$ : chr [1:980] "User_1" "User_2" "User_3" "User_4" ...
..$ : chr [1:10] "Category_1" "Category_2" "Category_3" "Category_4" ...
Details
980 travelers' reviews of 10 different types of travel facilities in East Asia
Source
UCI repository
References
Renjith, S., Sreekumar, A., and Jathavedan, M. (2018). Evaluation of partitioning clustering algorithms for processing social media data in tourism domain. 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127-131.
Examples
1
2
3
ggbggbggb/ISR documentation built on Dec. 20, 2021, 10:42 a.m.
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Description Usage Format Details Source References Examples
Description
Travel reviews
Usage
1 | data("review")
|
Format
The format is: num [1:980, 1:10] 0.93 1.02 1.22 0.45 0.51 0.99 0.9 0.74 1.12 0.7 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:980] "User_1" "User_2" "User_3" "User_4" ... ..$ : chr [1:10] "Category_1" "Category_2" "Category_3" "Category_4" ...
Details
980 travelers' reviews of 10 different types of travel facilities in East Asia
Source
UCI repository
References
Renjith, S., Sreekumar, A., and Jathavedan, M. (2018). Evaluation of partitioning clustering algorithms for processing social media data in tourism domain. 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 127-131.
Examples
1 2 3 |
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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