Color Image Segmentation using Kohonen Self-Organizing Map (SOM)

The use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering

The probability of attending school four our group of interest in this region increased by 6.5 percentage points after the expansion of the Bolsa Família program in 2007 and

Diante desse contexto, o presente trabalho apresenta a proposta de um modelo de reaproveitamento do óleo de cozinha, para a geração de biodiesel que

Proposed by Dorigo in 1991, the ant colony algorithm is widely used in medical image segmentation because of its excellent clustering characteristics [12].. On the basis of

The two points considered at the alternate sides, of the tangents through the diameter of the circle, and then the line joining these points divides the circle

2 Para Vico a corrupta natureza do homem ocorre em razão do pecado original, e com essa corrupta natureza: “percebemos com toda claridade que esta, não só nos

In section 4 the proposed method for the defect segmentation of fruits based on color using K-means clustering technique is presented and discussed.. Section 5

In this paper, a novel density based k-means clustering algorithm has been proposed to overcome the drawbacks of DBSCAN and kmeans clustering algorithms.. The result will be