Title Clustering high-dimensional data : First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers / edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta

Published Berlin : Springer, 2015

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Description 1 online resource (ix, 149 pages) : color illustrations Series Lecture Notes in Computer Science, 0302-9743 ; 7627 LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI Lecture notes in computer science ; 7627. 0302-9743 LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI. Contents Intro; Preface; Organization; Contents; Clustering High-Dimensional Data; 1 Introduction; 2 Defining Clustering; 3 The Century of Big Data; 4 Approaches to High Dimensional Data Clustering; 4.1 Subspace Clustering; 4.2 Projected Clustering; 4.3 Biclustering; 4.4 Hierarchical Clustering; 5 Conclusions; References; What are Clusters in High Dimensions and are they Difficult to Find?; 1 Introduction; 2 Properties of High-Dimensional Data; 3 Cluster Analysis; 4 What are Clusters, Especially in Higher Dimensions?; 5 Consequences for Clustering Algorithms; 6 Conclusions; References Efficient Density-Based Subspace Clustering in High Dimensions1 Introduction; 2 Density-Based Subspace Clustering; 3 Dimensionality Unbiased Density; 4 Redundancy-Removal; 5 Pruning Subspace Clusters; 6 Indexing Subspace Clustering; 7 Approximate Jump Clustering; 8 Conclusion; References; Comparing Fuzzy Clusterings in High Dimensionality; 1 Introduction; 2 Fuzzy Clustering; 2.1 Some Notations and Definitions; 2.2 Fuzzy Clustering; 2.3 Methods for Fuzzy Clustering; 2.4 Possibilistic Clustering Models; 2.5 Graded Possibilistic Models; 3 Comparing Fuzzy Clusterings 3.1 Approaches to the Comparison of Clusterings3.2 Notation; 3.3 Co-association; 3.4 Fuzzy Coassociation; 3.5 Comparing Two Partitions; 4 Partition Similarity Indexes; 4.1 The Rand and Jaccard Indexes; 4.2 The Fuzzy Jaccard Index; 4.3 The Fuzzy Rand Index; 4.4 The Probabilistic Rand Index; 4.5 The Probabilistic Jaccard Index; 5 Applications of Fuzzy Similarity Indexes; 5.1 Visual Stability Analysis Based on Comparing Fuzzy Clusterings; 5.2 Tracking Deterministic Annealing; 6 Conclusion; References; Time Series Clustering from High Dimensional Data; 1 Introduction 2 Financial High Dimensional Data Characteristics3 Beanplot Time Series; 4 Parameterizing Beanplot Time Series Data; 5 Time Series Factor Analysis on Beanplot Time Series; 6 From Time Series Factor Analysis to the Feature Clustering Approach; 7 Using the Self Organizing Maps; 8 Simulation Study; 9 Application on Real Data; 10 Conclusions; References; Data Dimensionality Estimation: Achievements and Challanges; 1 Introduction; 2 Global Methods; 2.1 Projection Techniques; 2.2 Fractal-Based Methods; 2.3 Multidimensional Scaling and Other Methods; 3 Local Methods; 3.1 Fukunaga-Olsen's Algorithm 3.2 TRN-Based and Local MDS Methods4 Mixed Methods; 4.1 Levina-Bickel Algorithm; 5 ID Estimation Methods Benchmarking; 6 Conclusions; References; A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics; 1 Introduction; 2 Related Works; 3 Theoretical Results; 4 The Algorithm; 5 Algorithm Evaluation; 5.1 Dataset Description; 5.2 Experimental Setting; 5.3 Experimental Results; 6 Conclusions and Future Works; A Algorithm Implementation; References; Dimensionality Reduction in Boolean Data: Comparison of Four BMF Methods Summary This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering Notes Includes author index English Subject Databases -- Congresses Computer science. Algorithms. Database management. Data mining. Information organization. Information retrieval. Artificial intelligence. Electronic Data Processing Algorithms Data Mining Information Storage and Retrieval Artificial Intelligence algorithms. information retrieval. artificial intelligence. Information retrieval Algorithms Artificial intelligence Computer science Data mining Database management Databases Information organization Genre/Form dictionaries. proceedings (reports) Dictionaries Conference papers and proceedings Dictionaries. Conference papers and proceedings. Dictionnaires. Actes de congrès. Form Electronic book Author Masulli, F. (Francesco), editor. Petrosino, Alfredo, editor Rovetta, Stefano, editor ISBN 9783662485774 366248577X

Other Titles CHDD 2012

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