Analysis of Self-Organizing Map Algorithm

Tochukwu Abadi 1 PAGE (1 WORD) Project
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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

Tochukwu, A (2018). Analysis of Self-Organizing Map Algorithm. Afribary.com: Retrieved May 25, 2019, from https://afribary.com/works/analysis-of-self-organizing-map-algorithm

MLA 8th

Abadi, Tochukwu. "Analysis of Self-Organizing Map Algorithm" Afribary.com. Afribary.com, 30 Nov. 2018, https://afribary.com/works/analysis-of-self-organizing-map-algorithm . Accessed 25 May. 2019.

MLA7

Abadi, Tochukwu. "Analysis of Self-Organizing Map Algorithm". Afribary.com, Afribary.com, 30 Nov. 2018. Web. 25 May. 2019. < https://afribary.com/works/analysis-of-self-organizing-map-algorithm >.

Chicago

Abadi, Tochukwu. "Analysis of Self-Organizing Map Algorithm" Afribary.com (2018). Accessed May 25, 2019. https://afribary.com/works/analysis-of-self-organizing-map-algorithm