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Pattern discovery using k-means algorithm

机译:使用k-means算法的模式发现

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摘要

Student's placement in industry for the industrial training is difficult due to the large number of students and organizations involved. Further the matching process is complex due to the various criteria set by the organization and students. This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. The data use consists of Bachelor of Information Technology and Bachelor in Multimedia students of Universiti Utara Malaysia from the year 2004 till 2005. The experiments were conducted using undirected data and directed data. The pattern extracted gave information on the previous matching process done by the university.
机译:由于涉及大量的学生和组织,学生很难进入行业进行行业培训。此外,由于组织和学生设定的各种标准,匹配过程也很复杂。本文将讨论使用k-均值聚类算法进行模式提取过程的结果。数据使用范围为2004年至2005年的信息技术学士学位和马来西亚Utara大学的多媒体学生学士学位。实验是使用无向数据和有向数据进行的。提取的模式提供了有关大学之前完成的匹配过程的信息。

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