Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The concept of families of triangular norm (t-norm) based kernel function is proposed, and its positive-definite property and conditions of applicable t-norms are validated. A clustering experiment with kernel k-means, which obtained clustering results are evaluated in terms of entropy and purity, is performed in order to analyze characteristics of the proposal. The experiment suggests: (1) the proposal improves entropy and purity for all data sets compared with linear kernel, (2) the proposal improves slightly entropy and purity for some data sets compared with RBF kernel, (3) the proposal maps data to high dimensional feature space than linear kernel but the dimension is lor than by RBF kernel.
['Kazushi Okamoto']
I am writing a research paper on a idea Families of Triangular Norm Based Kernel Function and Its Application to Kernel k-Means
[{"from": "human", "value": "I am writing a research paper on a idea Families of Triangular Norm Based Kernel Function and Its Application to Kernel k-Means"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The concept of families of triangular norm (t-norm) based kernel function is proposed, and its positive-definite property and conditions of applicable t-norms are validated. A clustering experiment with kernel k-means, which obtained clustering results are evaluated in terms of entropy and purity, is performed in order to analyze characteristics of the proposal. The experiment suggests: (1) the proposal improves entropy and purity for all data sets compared with linear kernel, (2) the proposal improves slightly entropy and purity for some data sets compared with RBF kernel, (3) the proposal maps data to high dimensional feature space than linear kernel but the dimension is lor than by RBF kernel."}]