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- W845024 abstract "Cluster analysis is one area of machine learning of particular interest to data mining. It provides for the organization of a collection of patterns, represented as a vector in a multidimensional space, into clusters based on the similarity of these patterns. Medical decision support is also of increasing research interest. Ongoing collaborations between cardiovascular clinicians and computer science are looking at the application of neural networks, and in particular clustering, to the area of individual patient diagnosis, based on clinical records. The cardiovascular domain is characterized as a mixture of continuous and discrete data. This limits the use of the K-means algorithm, which is widely used for partitioning clusters in data mining. This paper presents an improvement on the K-means algorithm (KMIX) and allows its application to the mixture of attribute types found in the cardiovascular domain." @default.
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- W845024 date "2007-01-01" @default.
- W845024 modified "2023-09-28" @default.
- W845024 title "A Clustering Algorithm for Predicting CardioVascular Risk" @default.
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