2014Advanced materials researchOpen access

Automatic Optimization Algorithm of Clusters Number Based on Maximum Distance

Hong Zhou, Jun Gao

Open full text 2 citations

Abstract

K-means clustering algorithm clusters datasets according to the certain clustering number k.However k cannot be confirmed beforehand.A new clustering validity index was designed from the standpoint of sample geometry.Based on the index a new method for determining the optimal clustering number in K-means clustering algorithm was proposed.

About this research paper

What this paper is about

K-means clustering algorithm clusters datasets according to the certain clustering number k.However k cannot be confirmed beforehand.A new clustering validity index was designed from the standpoint of sample geometry.Based on the index a new method for determining the optimal clustering number in K-means clustering algorithm was proposed.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

K-means clustering algorithm clusters datasets according to the certain clustering number k.However k cannot be confirmed beforehand.A new clustering validity index was designed from the standpoint of sample geometry.Based on the index a new method for determining the optimal clustering number in K-means clustering algorithm was proposed.

Key concepts: Cluster analysis, Correlation clustering, Single-linkage clustering, CURE data clustering algorithm, Determining the number of clusters in a data set, Canopy clustering algorithm, Algorithm, k-medians clustering

Related papers

Back to paper searchBrowse research topicsOriginal source
Automatic Optimization Algorithm of Clusters Number Based on Maximum Distance — Research Paper | ScholarLens