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FastMap: A Fast Algorithm For Indexing, Data-Mining And Visualization Of Traditional And Multimedia Datasets.pdf

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Preview of FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets
🔗 Source: cs.cmu.edu
📊 Size: 334 KB
📄 Pages: 26 pages
⬇️ Downloads: 385

Summary

FastMap is a fast algorithm for indexing, data-mining, and visualization of traditional and multimedia datasets. It maps objects into points in k-dimensional space, preserving dissimilarities, allowing for efficient retrieval and visualization. The algorithm is motivated by the difficulty of designing feature-extraction functions, especially when only distance information is available. FastMap is applicable to various domains, including image and multimedia databases, medical databases, time series, similarity searching in string databases, and data mining and visualization applications. It enables query-by-example, all-pairs, and nearest-neighbor queries, and can reveal potential clusters, correlations, and regularities in the data.

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Description

FastMap is a fast algorithm for indexing, data-mining, and visualization of traditional and multimedia datasets.

Technical Information

  • File Format: PDF
  • File Size: 334 KB
  • Pages: 26
  • Language: EN
  • Total Downloads: 385
  • Last Updated: 2 weeks ago

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This PDF document about FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets.

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FastMap: guideFastMap: tutorialFast guideFast tutorialAlgorithm guideAlgorithm tutorialIndexing, guideIndexing, tutorialData-Mining guideData-Mining tutorialVisualization guideVisualization tutorialTraditional guideTraditional tutorialMultimedia guideMultimedia tutorialDatasets guideDatasets tutorial

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