RETRACTED ARTICLE: Secured segmentation for ICD datasets

Nithya, M.; Vijayakumar, K.

doi:10.1007/s12652-020-02009-8

Cited by 24 publications

(1 citation statement)

References 14 publications

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“…To overcome this, in this paper, a two phase cluster validation (TPCV) is presented to estimate the probability of separation and closeness among the clusters (Ahmed et al 2019) in the cluster set of unsupervised clustering schemes for validating the cluster quality without prior knowledge. A similar dataset generation is projected in MooM datasets by Ahmed et al (2020) and ICD datasets by Nithya and Vijayakumar (2020).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Two phase cluster validation approach towards measuring cluster quality in unstructured and structured numerical datasets

Kumar¹,

Ahmed²,

Vigneshwaran

et al. 2020

J Ambient Intell Human Comput

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This paper presents an improved cluster validation scheme called two phase cluster validation (TPCV) and aims to estimate the inter closeness and inter separation among the clusters in the cluster set of unsupervised clustering schemes based on probability measure for validating the cluster quality without prior identification. First phase, the TPCV computes the representative cluster centroid of each individual cluster in the cluster set based on standard mean operation and then it estimates the probability of inter closeness of each cluster with other clusters in the cluster set based on cluster centroid. Next phase, it calculates the probability of separation among the clusters in the cluster set based on cluster centroid by distance measure. Experimental results show that the TPCV scheme is simple and effective to estimate the cluster quality by measuring the probability of closeness and separation between the clusters in the result of unsupervised clustering scheme.

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Section: Introductionmentioning

confidence: 99%