Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data.  present an edge-bundling method using density-based clustering for each dimension. This reduces clutter and provides a faster overview of clusters and trends. Moreover, it allows rendering the clustered lines using polygons, decreasing rendering time remarkably. In addition,  design interactions to support multidimensional clustering with this method. A user study shows improvements over the classic parallel coordinates plot in two user tasks: correlation estimation and subset tracing.
['Gregorio Palmas', 'Myroslav Bachynskyi', 'Antti Oulasvirta', 'H.-P. Seidel', 'Tino Weinkauf']
I am writing a research paper on a idea An Edge-Bundling Layout for Interactive Parallel Coordinates
[{"from": "human", "value": "I am writing a research paper on a idea An Edge-Bundling Layout for Interactive Parallel Coordinates"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data.  present an edge-bundling method using density-based clustering for each dimension. This reduces clutter and provides a faster overview of clusters and trends. Moreover, it allows rendering the clustered lines using polygons, decreasing rendering time remarkably. In addition,  design interactions to support multidimensional clustering with this method. A user study shows improvements over the classic parallel coordinates plot in two user tasks: correlation estimation and subset tracing."}]