Subspace clustering visual analysis method based on dimension correlation

An analysis method and subspace technology, applied in the field of visual analysis of subspace clustering, can solve problems such as lack of meaning in clustering, no solution given by visualization methods, and inability of users to perform visual analysis.

Active Publication Date: 2016-12-07
CENT SOUTH UNIV
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Problems solved by technology

However, these methods are limited to visualization of the results of automated subspace clustering methods, and users cannot perform interactive visual analysis
[0006] The method closest to the method of the present invention is "Dimension projection matrix/tree:Interactive subspace visual exploration and analysis of highdimensional data.IEEE TVCG,19(12):2625-2633,2013" proposed by Yua

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  • Subspace clustering visual analysis method based on dimension correlation
  • Subspace clustering visual analysis method based on dimension correlation
  • Subspace clustering visual analysis method based on dimension correlation

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Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] The invention includes a dimensional correlation measurement method based on the clustering significance, an effective visualization method for the complex structure of subspace clusters, and a visual analysis framework based on the dimensional correlation.

[0063] In this example, a high-performance computer is used, and the memory on the computer should be above 8G.

[0064] A visual analysis method for subspace clustering based on dimensional correl...

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Abstract

The invention discloses a subspace clustering visual analysis method based on dimension correlation. The subspace clustering visual analysis method comprises the steps of establishing a dimension correlation measurement method based on clustering significance; establishing an effective visualization method for a subspace clustering complex structure; and establishing a visual analysis framework based on the dimension correlation. In the interactive and visualized data exploration process, the invention give a user effective guidance information to guide the user to quickly find the valuable subspace and the corresponding cluster.

Description

technical field [0001] The invention belongs to the technical field of data mining and visual analysis, and relates to a visual analysis method of subspace clustering based on dimension correlation. Background technique [0002] Cluster analysis is one of the key technologies in the field of data mining. Subspace clustering is an extension of traditional clustering methods in high-dimensional data spaces, and its idea is to localize the search in relevant dimensions. [0003] Traditional clustering methods mainly encounter two problems when performing clustering in high-dimensional data sets. 1. There are a large number of irrelevant attributes in high-dimensional data sets, so that the possibility of clustering in all dimensions is almost zero; 2. The data distribution in high-dimensional space and low-dimensional space should be sparse, and the distance between data is almost equal. It is a common phenomenon, and the traditional clustering method is clustering based on d...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23
Inventor 夏佳志蒋广奎晓燕张宇鸿
Owner CENT SOUTH UNIV
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