Clustering High--Dimensional Data - Lecture Notes in Computer Science
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9783662485767, 9783662485774

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What are Clusters in High Dimensions and are they Difficult to Find?

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_2 ◽

2015 ◽

pp. 14-33 ◽

Cited By ~ 5

Author(s):

Frank Klawonn ◽

Frank Höppner ◽

Balasubramaniam Jayaram

Keyword(s):

High Dimensions

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Data Dimensionality Estimation: Achievements and Challanges

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_6 ◽

2015 ◽

pp. 87-101

Author(s):

Francesco Camastra

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Dimensionality Reduction in Boolean Data: Comparison of Four BMF Methods

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_8 ◽

2015 ◽

pp. 118-133 ◽

Cited By ~ 1

Author(s):

Eduard Bartl ◽

Radim Belohlavek ◽

Petr Osicka ◽

Hana Řezanková

Keyword(s):

Dimensionality Reduction ◽

Data Comparison

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A Rough Fuzzy Perspective to Dimensionality Reduction

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_9 ◽

2015 ◽

pp. 134-147 ◽

Cited By ~ 1

Author(s):

Alessio Ferone ◽

Alfredo Petrosino

Keyword(s):

Dimensionality Reduction

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Efficient Density-Based Subspace Clustering in High Dimensions

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_3 ◽

2015 ◽

pp. 34-49 ◽

Cited By ~ 1

Author(s):

Ira Assent

Keyword(s):

Subspace Clustering ◽

High Dimensions

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A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics

Clustering High--Dimensional Data - Lecture Notes in Computer Science ◽

10.1007/978-3-662-48577-4_7 ◽

2015 ◽

pp. 102-117

Author(s):

S. Bassis ◽

A. Rozza ◽

C. Ceruti ◽

G. Lombardi ◽

E. Casiraghi ◽

...

Keyword(s):

Order Statistics ◽

Rank Order ◽

Rank Order Statistics ◽

Intrinsic Dimensionality

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