Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A method for initialising the K-means clustering algorithm using kd-trees
Pattern Recognition Letters
k-means++: the advantages of careful seeding
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Cluster Analysis
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In this paper, a modulation identification method of block orthogonal modulations is proposed. The identification method is based on General Orthogonal Modulations (GOM), whose modulation parameters should be estimated. Basis vectors are obtained from received signals, and are used to estimate the parameter of GOM. Moreover, we propose demodulation method using basis vectors. Bit error rate of the identified modulation is evaluated in an additive white Gaussian noise channel by computer simulations.