{"product_id":"high-dimensional-data-visualization-using-self-organizing-maps-von-vikas-chaudhary-r-s-bhatia-anil-k-ahlawat","title":"High Dimensional Data Visualization Using Self Organizing Maps","description":"\u003cp\u003eA Self-organizing map is a non-linear, unsupervised neural network that is used for data clustering and visualization of high-dimensional data. A Self-organizing map uses U-matrix to visualize the high-dimensional data and the distances between neurons on the map. However, the structure of clusters and their shapes are often distorted. For better visualization of high-dimensional data, a new approach high dimensional data visualization Self-organizing map (HVSOM) is explained. The HVSOM preserve the inter-neuron distance and better visualizes the differences between the clusters. In HVSOM, the distances between input data points on the map resemble same those in the original space.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659818172\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783659818172","offer_id":39434636558429,"sku":"9783659818172","price":35.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/016ba5d2-8130-4222-a62a-1ed833948a27.jpg?v=1776231057","url":"https:\/\/shop.autorenwelt.de\/en\/products\/high-dimensional-data-visualization-using-self-organizing-maps-von-vikas-chaudhary-r-s-bhatia-anil-k-ahlawat","provider":"Autorenwelt Shop","version":"1.0","type":"link"}