Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Clustering is an essential way to extract meaningful information from massive data without human intervention in the field of data mining. Clustering algorithms can be divided into four types: partitioning algorithms, hierarchical algorithms, grid-based algorithms, and locality-based algorithms. Each algorithm, hover, has problems that are not easily solved. K-means, for example, suffer from setting up an initial centroid problem when distribution of data is not hyper-ellipsoid. Chain effect, outlier, and degree of density in data are problems occurring in other types of algorithms. To solve these problems, various kinds of algorithms re proposed. ,  propose a novel grid-based clustering algorithm through building clusters in each cell and show how to solve the previously mentioned problems.
['Jinbeom Kang', 'Joongmin Choi', 'Jaeyoung Yang']
I am writing a research paper on a idea An Enhanced Clustering Method Based on Grid-Shaking
[{"from": "human", "value": "I am writing a research paper on a idea An Enhanced Clustering Method Based on Grid-Shaking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Clustering is an essential way to extract meaningful information from massive data without human intervention in the field of data mining. Clustering algorithms can be divided into four types: partitioning algorithms, hierarchical algorithms, grid-based algorithms, and locality-based algorithms. Each algorithm, hover, has problems that are not easily solved. K-means, for example, suffer from setting up an initial centroid problem when distribution of data is not hyper-ellipsoid. Chain effect, outlier, and degree of density in data are problems occurring in other types of algorithms. To solve these problems, various kinds of algorithms re proposed. ,  propose a novel grid-based clustering algorithm through building clusters in each cell and show how to solve the previously mentioned problems."}]