arXiv Open Access 2023

clustering an african hairstyle dataset using pca and k-means

Teffo Phomolo Nicrocia Owolawi Pius Adewale Pholo Moanda Diana

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Abstrak

The adoption of digital transformation was not expressed in building an African face shape classifier. In this paper, an approach is presented that uses k-means to classify African women images. African women rely on beauty standards recommendations, personal preference, or the newest trends in hairstyles to decide on the appropriate hairstyle for them. In this paper, an approach is presented that uses K-means clustering to classify African women's images. In order to identify potential facial clusters, Haarcascade is used for feature-based training, and K-means clustering is applied for image classification.

Topik & Kata Kunci

cs.CV cs.LG

Penulis (3)

Teffo Phomolo Nicrocia

Owolawi Pius Adewale

Pholo Moanda Diana

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Nicrocia, T.P., Adewale, O.P., Diana, P.M. (2023). clustering an african hairstyle dataset using pca and k-means. https://arxiv.org/abs/2306.06061

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Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓