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A Case Study for Clustering Characteristics Evaluation and Clustering Dimension Selection by Using UCI News Data

Proceedings of the 2020 4th International Conference on Algorithms, Computing and Systems(2020)10.1145/3423390.3423401Source: DataRank Database

A Case Study for Clustering Characteristics Evaluation and Clustering Dimension Selection by Using UCI News Data is a research paper published in Proceedings of the 2020 4th International Conference on Algorithms, Computing and Systems (2020). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 0.00)OA: closedTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Hsu Chung-Chian,Pon YuShun,Liao WenWei,Huang Chih-Chien

Live enrichment

PubMed:19965766 OpenAlex:https://openalex.org/W3107909692

FWCI

0.00

Citation Percentile

0.2%

closedLicense: https://www.acm.org/publications/policies/copyright_policy#Background

publisherhttps://dl.acm.org/doi/10.1145/3423390.3423401

publisherhttps://dl.acm.org/doi/pdf/10.1145/3423390.3423401

https://doi.org/10.1145/3423390.3423401

Fields of Study

Technology and Data Analysis

Keywords

Cluster analysisCorrelation clusteringCURE data clustering algorithmFuzzy clusteringComputer scienceData stream clusteringData miningCanopy clustering algorithmClustering high-dimensional dataSingle-linkage clusteringConstrained clusteringArtificial intelligenceConsensus clusteringConceptual clusteringPattern recognition (psychology)Machine learning

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions