@inproceedings{9944fe1a32a2431ab3a13ef81f02e59f,
title = "Feature reduction for simplified handwritten digit classification model",
abstract = "In this paper we present a model for feature reduction of handwritten digits in simple classifiers and comparison of performance of said classifiers. Classification will be done on modified databases of 28x28 px images containing handwritten numbers from 0 to 9. Modifications in databases were obtained by creating vectors from pixels, also later modified by using PCA and in some cases down-sampling. Comparison of KNN, Naive Bayes, Fuzzy Clustering, Centroids - McQueen classifiers will be done, based on standard metrics and process time.",
keywords = "Centroids - McQueen, Classification, Fuzzy Clustering, KNN, MNIST, Naive Bayes, Number Recognition, Python",
author = "Alan Popiel and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 ; Conference date: 04-12-2022 Through 07-12-2022",
year = "2022",
doi = "10.1109/SSCI51031.2022.10022258",
language = "English",
series = "Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "448--454",
editor = "Hisao Ishibuchi and Chee-Keong Kwoh and Ah-Hwee Tan and Dipti Srinivasan and Chunyan Miao and Anupam Trivedi and Keeley Crockett",
booktitle = "Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022",
address = "United States",
}