Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Affinity propagation is an impressive clustering algorithm which was published in Science, 2007. Hover, the original algorithm couldn't cope with part known data directly. Focusing on this issue, a semi-supervised scheme called incremental affinity propagation clustering is proposed in the paper. In the scheme, the pre-known information is represented by adjusting similarity matrix. Moreover, an incremental study is applied to amplify the prior knowledge. To examine the effectiveness of the method,  concentrate it to text clustering problem and describe the specific method accordingly. The method is applied to the benchmark data set Reuters-21578. Numerical results show that the proposed method performs very ll on the data set and has most advantages over two other commonly used clustering methods.
['Xiaohu Shi', 'Renchu Guan', 'Liupu Wang', 'Zhili Pei', 'Yanchun Liang']
I am writing a research paper on a idea An incremental affinity propagation algorithm and its applications for text clustering
[{"from": "human", "value": "I am writing a research paper on a idea An incremental affinity propagation algorithm and its applications for text clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Affinity propagation is an impressive clustering algorithm which was published in Science, 2007. Hover, the original algorithm couldn't cope with part known data directly. Focusing on this issue, a semi-supervised scheme called incremental affinity propagation clustering is proposed in the paper. In the scheme, the pre-known information is represented by adjusting similarity matrix. Moreover, an incremental study is applied to amplify the prior knowledge. To examine the effectiveness of the method,  concentrate it to text clustering problem and describe the specific method accordingly. The method is applied to the benchmark data set Reuters-21578. Numerical results show that the proposed method performs very ll on the data set and has most advantages over two other commonly used clustering methods."}]