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Clustering support system and method, and device for supporting same

一种聚类、聚类分析的技术，应用在聚类分析领域，能够解决不容易一般化、不同、不能连续提供恒定结果等问题

Active Publication Date: 2015-02-25
SK PLANET CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

As such, the efficiency of traditional k-means clustering varies with the k-value input, and thus it is not easy to generalize and requires skilled operator control, and does not continuously provide the possibility of constant results even with skilled operators also very high

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  • Clustering support system and method, and device for supporting same
  • Clustering support system and method, and device for supporting same
  • Clustering support system and method, and device for supporting same

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Embodiment Construction

[0031] Exemplary embodiments of the present invention will be described in detail below. The same reference numerals are used throughout this specification to refer to the same elements. In the description of the embodiments, in order to avoid obscuring the subject matter of the present invention, detailed descriptions of related known functions or structures will be omitted here.

[0032] Meanwhile, the exemplary embodiments presented in the specification and its drawings are merely provided to complete the present invention and help those skilled in the art to fully understand the present invention, and thus the scope of the present invention is not limited by these embodiments and terms. Thus, it will be apparent to those skilled in the art that various exemplary embodiments can be made without departing from the scope of the present invention.

[0033] figure 1 is a diagram illustrating the configuration of a cluster analysis support system according to an exemplary embo...

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Abstract

Disclosed is a cluster analysis supporting system, with respect to providing a cluster analysis function, including a cluster analysis service apparatus configured to request a distributed processing service apparatus to perform a k-means clustering based on k values within a predetermined range and a preset iteration frequency until a predefined converge condition is satisfied, and if center values of the k values are calculated from the distributed processing service apparatus, select an optimum center value among the center values, and control calculation and application of an optimum k value through an index calculation with respect to applying clustered indexes assigned based on the selected optimum center value to data, and the distributed processing service apparatus configured to perform the k-means clustering based on the k values and the preset iteration frequency provided from the cluster analysis service apparatus upon the request by the cluster analysis service apparatus.

Description

technical field [0001] The present invention relates to cluster analysis, and more particularly, to a cluster analysis support system and method for supporting K-means clustering to process large data in a distributed processing environment, and an apparatus for supporting the cluster analysis. Background technique [0002] Cluster analysis, that is, clustering refers to grouping similar data. Whether the data are similar varies with the definition of similarity given in advance. When the values ​​of the respective data are represented as vectors, similarity is mainly determined using geometric distance. One of the most representative examples of geometric distance used to determine similarity is Euclidean distance. Meanwhile, k-means clustering is used to group a total of n d-dimensional data into k groups. For example, when two-dimensional input data exists, k-means clustering represents the task of assigning a cluster index ranging from 1 to k to each two-dimensional i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/00
CPCG06K9/00G06F17/30598G06F16/285G06F18/23213G06V10/95
Inventor 金民成尹度永李埰炫李俊燮
Owner SK PLANET CO LTD