Heterogeneous clustering

Charulatha, B. S.; Rodrigues, Paul; Chitralekha, T.; Rajaraman, A.

doi:10.1109/icices.2014.7033890

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Fuzzy Clustering1

Content Representation1

Introduction1

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2014

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“…Step 3: Compute the cost function according to (2). Stop either if it is below a certain tolerance value or if its improvement over previous iteration is below a certain threshold.…”

Section: Fuzzy Clusteringmentioning

confidence: 99%

“…The content is taken, and the pixel map equivalent of the content is determined. Once the pixel map of the content in any of the above-said form is found, the same pixel map is fed as input to the feature extraction module [2].…”

Section: Content Representationmentioning

confidence: 99%

“…Pixel-based processing to assess the overall content is the focus of the study. The objective of the present study is to extract the features dealing with Web documents either in English or in a regional language like Sanskrit [1]. The remainder of the paper is organized as follows: Sect.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Clustering for Knowledgeable Web Mining

Charulatha

Rodrigues²,

Chitralekha

et al. 2014

Advances in Intelligent Systems and Computing

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Web pages nowadays have different forms and types of content. When the Web content is considered, they are in the form of pictures, videos, audio files, and text files in different languages. The content can be multilingual, heterogeneous, and unstructured. The mining should be independent of the language and software. Statistical features of the images are extracted from the pixel map of the image. The extracted features are presented to the fuzzy clustering algorithm (FCM) and Gath-Geva algorithm. The similarity metric being Euclidean distance and Gaussian distance, respectively. The accuracy is compared and presented.

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“…Step 3: Compute the cost function according to (2). Stop either if it is below a certain tolerance value or if its improvement over previous iteration is below a certain threshold.…”

Section: Fuzzy Clusteringmentioning

confidence: 99%

Section: Content Representationmentioning

confidence: 99%