Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose relevance learning for unsupervised online vector quantization algorithm based on stochastic gradient descent learning according to the given vector quantization cost function.  consider several widely used models including the neural gas algorithm, the Heskes variant of self-organizing maps and the fuzzy c-means.  apply the relevance learning scheme for divergence based similarity measures beten prototypes and data vectors in the vector quantization schemes.
['Marika Kästner', 'Andreas Backhaus', 'Tina Geweniger', 'Sven Haase', 'Udo Seiffert', 'Thomas Villmann']
I am writing a research paper on a idea Relevance learning in unsupervised vector quantization based on divergences
[{"from": "human", "value": "I am writing a research paper on a idea Relevance learning in unsupervised vector quantization based on divergences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose relevance learning for unsupervised online vector quantization algorithm based on stochastic gradient descent learning according to the given vector quantization cost function.  consider several widely used models including the neural gas algorithm, the Heskes variant of self-organizing maps and the fuzzy c-means.  apply the relevance learning scheme for divergence based similarity measures beten prototypes and data vectors in the vector quantization schemes."}]