Clustering high dimensional data

I Assent - Wiley Interdisciplinary Reviews: Data Mining and …, 2012 - Wiley Online Library
… of the effects of high-dimensional spaces, and their implications for different clustering
paradigms. We review models and algorithms that address clustering in high dimensions, with …

The challenges of clustering high dimensional data

M Steinbach, L Ertöz, V Kumar - New directions in statistical physics …, 2004 - Springer
clusters lie in … high dimensional data sets it is likely that clusters lie only in subsets of the
full space. Thus, many algorithms for clustering high dimensional data automatically find clusters

Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering

HP Kriegel, P Kröger, A Zimek - … on knowledge discovery from data (tkdd …, 2009 - dl.acm.org
… of clustering high-dimensional data. 1.2 Finding Clusters in High-Dimensional Data As
sketched in the previous application scenarios, when clustering highdimensional data, we face …

Adaptive dimension reduction for clustering high dimensional data

C Ding, X He, H Zha, HD Simon - … Conference on Data Mining …, 2002 - ieeexplore.ieee.org
… for clustering high dimensional data using adaptive dimension reductions. … cluster centers
is sufficient to find the cluster centers. The subspace containing cluster centers is of dimension

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data

AAA Esmin, RA Coelho, S Matwin - Artificial Intelligence Review, 2015 - Springer
… for large data sets … clustering high-dimensional data. An attempt is made to provide a guide
for the researchers who are working in the area of PSO and high-dimensional data clustering. …

The role of hubness in clustering high-dimensional data

N Tomasev, M Radovanovic… - … knowledge and data …, 2013 - ieeexplore.ieee.org
… centrality within a high-dimensional data cluster and that major hubs can be used effectively
as cluster prototypes. In addition, we propose three new clustering algorithms and evaluate …

High-dimensional data clustering

C Bouveyron, S Girard, C Schmid - Computational statistics & data analysis, 2007 - Elsevier
… real data sets show that HDDC outperforms existing methods for clustering high-dimensional
data. … In this section, a brief survey of these works in clustering of high-dimensional data is …

Clustering high-dimensional data

A Zimek - Data Clustering, 2018 - taylorfrancis.com
… the curse of dimensionality have been actually the main motivation for developing specialized
methods for clustering in subspaces of potentially highdimensional data even though this …

Clustering high-dimensional data

F Masulli, S Rovetta - Clustering High--Dimensional Data: First …, 2015 - Springer
cluster high dimensional data sets we have to overcome some difficult problems that are
expressions of the curse of dimensionality … of data clustering in high-dimensional data space …

[PDF][PDF] A survey on clustering high dimensional data techniques

M Pavithra, RMS Parvathi - International Journal of Applied Engineering …, 2017 - jit.ac.in
clustering high dimensional data. In this paper, a novel approach for clustering high dimensional
dataClustered Facebook data is used to find the closeness between two participants in …