Analysis of Clustering Algorithms

被引：3

作者：

Zheliznyak, Iryna ^{[1
]}

Rybchak, Zoriana ^{[1
]}

Zavuschak, Iryna ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, Lvov, Ukraine

来源：

ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, CSIT 2016 | 2017年 / 512卷

关键词：

Cluster analysis; Methods; Objectives; Automatic classification; Pattern recognition without teacher;

D O I：

10.1007/978-3-319-45991-2_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, bioinformatics, data compression, and computer graphics.

引用

页码：305 / 314

页数：10

共 10 条

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