Results 41 to 50 of about 2,657,458 (337)
Clustering by Compression [PDF]
IEEE Transactions on Information Theory, 2003 We present a new method for clustering based on compression. The method doesn't use subject-specific features or background knowledge, and works as follows: First, we determine a universal similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pairwise concatenation).
Xin Li +4 more
openaire +5 more sources
Statistical Properties of Convex Clustering
, 2015 In this manuscript, we study the statistical properties of convex clustering. We establish that convex clustering is closely related to single linkage hierarchical clustering and $k$-means clustering.
Tan, Kean Ming, Witten, Daniela
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Social reference: Aggregating online usage of scientific literature in CiteULike for clustering academic resources [PDF]
, 2011 Citation-based methods have been widely studied and employed for clustering academic resources and mapping science. Although effective, these methods suffer from citation delay. In this study, we extend reference and citation analysis to a broader notion
He, D, Jiang, J, Ni, C
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Remote Sensing, 2019 Lightning activity is usually associated with precipitations events and represents a possible indicator of climate change, even contributing to its increase with the production of NOx gases.
Guido Paliaga +3 more
doaj +1 more source
Clustering of correlated networks
, 2003 We obtain the clustering coefficient, the degree-dependent local clustering, and the mean clustering of networks with arbitrary correlations between the degrees of the nearest-neighbor vertices. The resulting formulas allow one to determine the nature of
Dorogovtsev, S. N.
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
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Clustering Organizational Learning Capability Indices for Knowledge Sharing in Different Segments of the Firm [PDF]
International Journal of Management, Knowledge and Learning, 2013 Since maximization of learning and organizational learning capabilities is the most important element for the success of knowledge management in each organization, this paper focuses on the dimensions of organizational learning capability.
Masoomeh Alikhani +2 more
doaj
Observations of clustering inside oceanic bubble clouds and the effect on short-range acoustic propagation [PDF]
, 2008 It has recently been shown [Weber, T. C. et al. (Year: 2007). “Acoustic propagation through clustered bubble clouds,” IEEE J. Ocean. Eng.32, 513–523] that gas bubble clustering plays a role in determining the acoustic field characteristics of bubbly ...
Weber, Thomas C.
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Uncovering Group Level Insights with Accordant Clustering
, 2017 Clustering is a widely-used data mining tool, which aims to discover partitions of similar items in data. We introduce a new clustering paradigm, \emph{accordant clustering}, which enables the discovery of (predefined) group level insights.
Ackerman, Margareta +2 more
core +1 more source
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
FEBS Letters, EarlyView.Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta +3 more
wiley +1 more source