Infinite Type Centroid java library: An implementation of parameterized coordinates for an enhanced centroid calculation during K-means classification

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Victor Hugo Silva-Blancas , José Manuel Álvarez-Alvarado , Hugo Jiménez-Hernández , Ana Marcela Herrera-Navarro , Diana Margarita Córdova-Esparza , Juvenal Rodríguez-Reséndiz
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引用次数: 0

Abstract

InfiniteTypeCentroid presents a theorem design to enhance centroid calculation on the K-means algorithm by integrating a parameters list that produces hidden information and offers improved results choose in the course of research. It shows a capacity for universalization and adaptability to address any mathematical analysis and it can be used in any Java compiler a parent class. Data analysis on use cases results in 18.22% improved accuracy and data behavior for a specific dataverse produces seven tendency charts with enriched significance. Improves data structures by debugging non-significant values and offering an improved methodology for hypothesis definition.

Abstract Image

无限型质心java库:参数化坐标的实现,用于在K-means分类期间增强质心计算
InfiniteTypeCentroid提出了一种定理设计,通过集成一个参数表来增强K-means算法的质心计算,该参数表产生了隐藏信息,并在研究过程中提供了改进的结果选择。它显示了通用性和适应性,可以处理任何数学分析,并且可以在任何Java编译器(父类)中使用。用例的数据分析结果提高了18.22%的准确性,特定数据厌恶的数据行为产生了七个具有丰富意义的趋势图。通过调试非显著值和提供改进的假设定义方法来改进数据结构。
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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
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