The ML algorithms used:
- Classification
- Decision Tree
- Support Vector Machine (SVM)
- Ada Boost (an ensemble method)
- Clustering
- Hierarchical clustering (Agglomerative)
.
├── data
│ ├── 1. original
│ └── 2. edited
├── images
│ └── logos
├── logs
├── outputs
├── reports
└── utils
└── jqmcvi
10 directories
The data was obtained from here and was firt used and introduced by Frey and Slate [1].
Dataset info:
- Title: Letter Image Recognition Data
- Source Information
- Creator: David J. Slate
Odesta Corporation; 1890 Maple Ave; Suite 115; Evanston, IL 60201
- Donor: David J. Slate (dave@math.nwu.edu) (708) 491-3867
- Date: January, 1991
- Creator: David J. Slate
- Number of Instances: 20000
- Number of Attributes: 17 (Letter category and 16 numeric features)
- Attribute Information:
- lettr capital letter (26 values from A to Z)
- x-box horizontal position of box (integer)
- y-box vertical position of box (integer)
- width width of box (integer)
- high height of box (integer)
- onpix total # on pixels (integer)
- x-bar mean x of on pixels in box (integer)
- y-bar mean y of on pixels in box (integer)
- x2bar mean x variance (integer)
- y2bar mean y variance (integer)
- xybar mean x y correlation (integer)
- x2ybr mean of x * x * y (integer)
- xy2br mean of x * y * y (integer)
- x-ege mean edge count left to right (integer)
- xegvy correlation of x-ege with y (integer)
- y-ege mean edge count bottom to top (integer)
- yegvx correlation of y-ege with x (integer)
Should you have any questions, feel free to contact TekBoArt @tekboart.
[1] Frey, P. W., & Slate, D. J. (1991). Letter recognition using Holland-style adaptive classifiers.Machine learning,6(2), 161-182.
- Refer to the file
LICENSE
for more information regarding the license of this repository.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.