Analysis of Self-Organizing Map Algorithm

Artificial Neural Networks have proven to be very useful in areas that concern data mining. This research project borders on the use of kohenen self-Organising Map, a neural network based unsupervised, competitive learning algorithm that can seperate a given dataset of customers and their prefences into groups known as clusters. 

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APA

Abadi, T. (2018). Analysis of Self-Organizing Map Algorithm. Afribary. Retrieved from https://tracking.afribary.com/works/analysis-of-self-organizing-map-algorithm

MLA 8th

Abadi, Tochukwu "Analysis of Self-Organizing Map Algorithm" Afribary. Afribary, 30 Nov. 2018, https://tracking.afribary.com/works/analysis-of-self-organizing-map-algorithm. Accessed 24 Nov. 2024.

MLA7

Abadi, Tochukwu . "Analysis of Self-Organizing Map Algorithm". Afribary, Afribary, 30 Nov. 2018. Web. 24 Nov. 2024. < https://tracking.afribary.com/works/analysis-of-self-organizing-map-algorithm >.

Chicago

Abadi, Tochukwu . "Analysis of Self-Organizing Map Algorithm" Afribary (2018). Accessed November 24, 2024. https://tracking.afribary.com/works/analysis-of-self-organizing-map-algorithm