A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks

Algorithm 1

Spectrum sensing method based on signal feature and clustering algorithm.

Input: () Train data and test data ()

() Calculate the distanced between and , get the minimum value of and reclassify it.

() Calculate the mean of all points in the cluster and use the mean as the centroid

Or select the smallest points of distance from one to all points as centroids.

() Calculate

() If the converges then algorithm will stops, otherwise it return the second step.

() Import the test data

() If then output , otherwise output .