FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2040153220> ?p ?o ?g. }

• W2040153220 endingPage "10" @default.
• W2040153220 startingPage "1" @default.
• W2040153220 abstract "Dimension reduction is an important tool for feature extraction and has been widely used in many fields including image processing, discrete-time systems, and fault diagnosis. As a key parameter of the dimension reduction, intrinsic dimension represents the smallest number of variables which is used to describe a complete dataset. Among all the dimension estimation methods, correlation dimension (CD) method is one of the most popular ones, which always assumes that the effect of every point on the intrinsic dimension estimation is identical. However, it is different when the distribution of a dataset is nonuniform. Intrinsic dimension estimated by the high density area is more reliable than the ones estimated by the low density or boundary area. In this paper, a novel weighted correlation dimension (WCD) approach is proposed. The vertex degree of an undirected graph is invoked to measure the contribution of each point to the intrinsic dimension estimation. In order to improve the adaptability of WCD estimation,<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:math>-means clustering algorithm is adopted to adaptively select the linear portion of the log-log sequence<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M2><mml:mo stretchy=false>(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant=normal>log</mml:mi></mml:mrow><mml:mo>⁡</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=normal>δ</mml:mi></mml:mrow><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mrow><mml:mo>,</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant=normal>log</mml:mi></mml:mrow><mml:mo>⁡</mml:mo><mml:mrow><mml:mi>C</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy=false>(</mml:mo><mml:mi>n</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mrow><mml:mi mathvariant=normal>δ</mml:mi></mml:mrow><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:msub><mml:mo stretchy=false>)</mml:mo><mml:mo stretchy=false>)</mml:mo></mml:math>. Various factors that affect the performance of WCD are studied. Experiments on synthetic and real datasets show the validity and the advantages of the development of technique." @default.
• W2040153220 created "2016-06-24" @default.
• W2040153220 creator A5000710102 @default.
• W2040153220 creator A5009812232 @default.
• W2040153220 creator A5066213432 @default.
• W2040153220 creator A5080733133 @default.
• W2040153220 date "2015-01-01" @default.
• W2040153220 modified "2023-10-16" @default.
• W2040153220 title "Dimension Estimation Using Weighted Correlation Dimension Method" @default.
• W2040153220 cites W1489992831 @default.
• W2040153220 cites W1623941268 @default.
• W2040153220 cites W1964209297 @default.
• W2040153220 cites W1966532305 @default.
• W2040153220 cites W1973164954 @default.
• W2040153220 cites W1979141251 @default.
• W2040153220 cites W1980173991 @default.
• W2040153220 cites W1984948334 @default.
• W2040153220 cites W1985314031 @default.
• W2040153220 cites W1988840804 @default.
• W2040153220 cites W2006466194 @default.
• W2040153220 cites W2008573327 @default.
• W2040153220 cites W2013614824 @default.
• W2040153220 cites W2030876210 @default.
• W2040153220 cites W2034683485 @default.
• W2040153220 cites W2037286435 @default.
• W2040153220 cites W2055084071 @default.
• W2040153220 cites W2087161873 @default.
• W2040153220 cites W2099694479 @default.
• W2040153220 cites W2113957760 @default.
• W2040153220 cites W2117741752 @default.
• W2040153220 cites W2121565356 @default.
• W2040153220 cites W2124477890 @default.
• W2040153220 cites W2146854442 @default.
• W2040153220 cites W2158958729 @default.
• W2040153220 cites W2164284840 @default.
• W2040153220 cites W4234345389 @default.
• W2040153220 doi "https://doi.org/10.1155/2015/837185" @default.
• W2040153220 hasPublicationYear "2015" @default.
• W2040153220 type Work @default.
• W2040153220 sameAs 2040153220 @default.
• W2040153220 citedByCount "1" @default.
• W2040153220 countsByYear W20401532202021 @default.
• W2040153220 crossrefType "journal-article" @default.
• W2040153220 hasAuthorship W2040153220A5000710102 @default.
• W2040153220 hasAuthorship W2040153220A5009812232 @default.
• W2040153220 hasAuthorship W2040153220A5066213432 @default.
• W2040153220 hasAuthorship W2040153220A5080733133 @default.
• W2040153220 hasBestOaLocation W20401532201 @default.
• W2040153220 hasConcept C11413529 @default.
• W2040153220 hasConcept C114614502 @default.
• W2040153220 hasConcept C154945302 @default.
• W2040153220 hasConcept C33676613 @default.
• W2040153220 hasConcept C33923547 @default.
• W2040153220 hasConcept C41008148 @default.
• W2040153220 hasConceptScore W2040153220C11413529 @default.
• W2040153220 hasConceptScore W2040153220C114614502 @default.
• W2040153220 hasConceptScore W2040153220C154945302 @default.
• W2040153220 hasConceptScore W2040153220C33676613 @default.
• W2040153220 hasConceptScore W2040153220C33923547 @default.
• W2040153220 hasConceptScore W2040153220C41008148 @default.
• W2040153220 hasLocation W20401532201 @default.
• W2040153220 hasLocation W20401532202 @default.
• W2040153220 hasOpenAccess W2040153220 @default.
• W2040153220 hasPrimaryLocation W20401532201 @default.
• W2040153220 hasRelatedWork W1516407058 @default.
• W2040153220 hasRelatedWork W1607154928 @default.
• W2040153220 hasRelatedWork W1981482516 @default.
• W2040153220 hasRelatedWork W2050339651 @default.
• W2040153220 hasRelatedWork W2054104090 @default.
• W2040153220 hasRelatedWork W2069665266 @default.
• W2040153220 hasRelatedWork W2080397230 @default.
• W2040153220 hasRelatedWork W2085026217 @default.
• W2040153220 hasRelatedWork W2170802669 @default.
• W2040153220 hasRelatedWork W2356056792 @default.
• W2040153220 hasVolume "2015" @default.
• W2040153220 isParatext "false" @default.
• W2040153220 isRetracted "false" @default.
• W2040153220 magId "2040153220" @default.
• W2040153220 workType "article" @default.