High values in the U-matrix represent a frontier region between clusters, and low values represent a high degree of similarities among neurons on that region, clusters. This can be a visual task when we use some color schema. 

4.2 Component Planes (CP) After the learning process we can color each neuron according with each component value in the codevector. For this work we have taken a grey scaled color SOM for each variable (Fig. 1). The emerging patterns of data distribution on SOM's grid (Kohonen, 2001) can be realized through this CP. This can also detect correlations among variables. 

By only viewing the colored pattern for each CP, the contribution of each one to the SOM differentiation can be well recognised. 

## 4.3 Visual Inspection Of Som 7

The visual inspection of the SOM uses U-matrix on top left, then component planes, and map unit labels on bottom right as shown in figure 1. The maps are connected to adjacent hexagonal nodes with sizes 1210 , by adapting the observed machines operations('1'). The CP is used for visualising the different input variables representing the operations of machine ('1') identified from the density of colors shades in the nodes network for each CP map. The '1' and '0' correspond to a darker shade, and a lighter shade.

Even a partial correlation of CP may be identified by inspecting grayscales representation from the grid nodes. Each figure in the figure 1, the hexagon in a certain position corresponds to the same map unit. But in the U-matrix, additional hexagons exist between all pairs of neighboring map units. For example, the map unit in top left corner has low values for m1, m3, m5, m9, m10 and relatively high value for m2, m4, m6, m7, m8. The label associated with the map unit is parts and from the U-matrix it can be seen that the unit is very close to its neighbors.

4.4 Principle Component Projection in SOM Map In the figure 2 a principle component projection made to the binary machine-part data set and applied to the map. The SOM grid has been projected to the same subspace. Neighboring map units are connected with lines. The colormap is done by spreading a grey scale colormap on the projection. Distance matrix information is extracted from the U-matrix, and it is modified by knowledge of zero-hits (interpolative) units. Finally, three 