A survey on unsupervised outlier detection in high-dimensional numerical data

A survey on enhanced subspace clustering

(2012) Kelvin Sim et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Subspace clustering

(2012) Hans-Peter Kriegel et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Clustering high dimensional data

(2012) Ira Assent   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization

(2011) Stephen L. France et al.   INFORMATION SCIENCES

Distance-preserving dimensionality reduction

(2011) Li Yang   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Outlier detection

(2011) Xiaogang Su et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Density-based clustering

(2011) Hans-Peter Kriegel et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Anomaly Detection for Discrete Sequences: A Survey

(2010) V. Chandola et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The Remarkable Simplicity of Very High Dimensional Data: Application of Model-Based Clustering

(2010) Fionn Murtagh   JOURNAL OF CLASSIFICATION

On the distance concentration awareness of certain data reduction techniques

(2010) Ata Kabán   PATTERN RECOGNITION

Mining outliers with faster cutoff update and space utilization

(2010) Chi-Cheong Szeto et al.   PATTERN RECOGNITION LETTERS

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

When is ‘nearest neighbour’ meaningful: A converse theorem and implications

(2009) Robert J. Durrant et al.   JOURNAL OF COMPLEXITY

Subspace and projected clustering: experimental evaluation and analysis

(2009) Gabriela Moise et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Quality assessment of dimensionality reduction: Rank-based criteria

(2009) John A. Lee et al.   NEUROCOMPUTING

Scale-Free Networks: A Decade and Beyond

(2009) Albert-László Barabási   SCIENCE

Clustering high-dimensional data

(2009) Hans-Peter Kriegel et al.   ACM Transactions on Knowledge Discovery from Data

Fast mining of distance-based outliers in high-dimensional datasets

(2008) Amol Ghoting et al.   DATA MINING AND KNOWLEDGE DISCOVERY

On variants of the Johnson–Lindenstrauss lemma

(2008) Jiří Matoušek   RANDOM STRUCTURES & ALGORITHMS

Global Correlation Clustering Based on the Hough Transform

(2008) Elke Achtert et al.   Statistical Analysis and Data Mining

Outlier identification in high dimensions

(2007) Peter Filzmoser et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS