# [PDF] Top 20 Spectral redemption in clustering sparse networks

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### Spectral redemption in clustering sparse networks

... real **networks** to illustrate the advantages of **spectral** **clustering** based on the non- backtracking matrix **in** practical ...applications. **In** Fig. 6 we show B’s spectrum for several ... Voir le document complet

12

### A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks

... co-authorship **networks** built from DBLP **in** the following ...paper **in** the corresponding ...together **in** one of the considered ...learning **in** their scopes : ICML, NIPS, and two ... Voir le document complet

33

### Clustering from sparse pairwise measurements

... where ∂i denotes the set of neighbors of node i **in** the graph G, and w is defined **in** (8). A simple computation, analogous to [9], allows to show that (λ ≥ 1, v) is an eigenpair of B, if and only H(λ)v = 0. ... Voir le document complet

6

### Spectral Detection on Sparse Hypergraphs

... studied **in** the case of graphs with simple edges between couples of ...many **networks** have a different structure, and the relationships between vertex-variables are not established **in** couples but ... Voir le document complet

9

### Robust spectral clustering using LASSO regularization

... Keywords: **Spectral** **clustering**, community detec- tion, eigenvectors basis, ` 1 ...role **in** complex systems as they can conveniently model interactions be- tween the variables of a ...used **in** a ... Voir le document complet

16

### Accelerating consensus by spectral clustering and polynomial filters

... introduction **in** [1], (discrete-time) consensus algorithms have attracted almost as much attention as their dual, fast mixing Markov chains [2], ...fixed **networks**, some particular acceleration methods ... Voir le document complet

11

### l1-spectral clustering algorithm: a robust spectral clustering using Lasso regularization

... role **in** complex systems as they can model interactions between variables of the ...used **in** a wide range of applications, from social sciences ...social **networks** (Handcock and Gile, 2010)) to ... Voir le document complet

24

### Efficient Eigen-updating for Spectral Graph Clustering

... graph **clustering**, is often used to gain insight into the or- ganisation of large scale **networks** and for visualisation ...graph **clustering** methods tailored for evolving **networks** is a ... Voir le document complet

28

### Incremental Spectral Clustering with the Normalised Laplacian

... graph **clustering** , is often used to gain insight into the organization of large scale **networks** and for visualization ...graph **clustering** methods tailored for evolving **networks** is a challenging ... Voir le document complet

7

### Overlapping clustering methods for networks

... falls **in** the general category of agglomerative hi- erarchical **clustering** methods [24, ...configuration **in** which each vertex is the sole member of one of N communities, the communities are iteratively ... Voir le document complet

26

### Community detection in sparse networks via Grothendieck's inequality

... called **spectral** **clustering**, where the communities are recovered based on the signs of an eigenvector of the adjacency matrix (going back to [ 39 , 14 , 50 ], see [ 64 ...of **sparse** matrices tend to be ... Voir le document complet

24

### Modularity-based Sparse Soft Graph Clustering

... optimize. **In** [27], Nicosia et ...problem. **In** [12], Griechisch et ...Finally, **in** [14], Havens et al. use a **spectral** approach that does not directly solve the relaxation of the modularity ... Voir le document complet

11

### Power Spectral Clustering

... Introduction **Spectral** **clustering** has been widely popular due to its usage **in** image segmentation ...role **in** globalizing local information **in** the recent state-of-the-art method for ... Voir le document complet

20

### Spectral inference methods on sparse graphs : theory and applications

... variables **in** a compact way, and provide a unified view of inference and learning problems **in** areas as diverse as statistical physics, computer vision, coding theory or machine learning (see ... Voir le document complet

256

### Word sense discrimination in information retrieval: a spectral clustering-based approach

... precision **in** information retrieval (IR) ...retrieved **in** relation to an ambiguous ...disambiguation **in** IR are generally supervised ones. **In** this paper we propose a new unsupervised method that ... Voir le document complet

18

### Clustering behaviors in networks of integrate-and-fire oscillators

... of **clustering** **in** the population, we computed the fraction of “traveling ...oscillators.” **In** a popula- tion of identical oscillators, each oscillator is trapped **in** one of the N g clusters and ... Voir le document complet

8

### Optimal Laplacian Regularization for Sparse Spectral Community Detection

... detection **in** **sparse** net- works, provided for one by the statistics community and for the other by the physics community; these approaches have so far have been treated ...algorithms **in** **sparse** ... Voir le document complet

6

### 3D+t segmentation of PET images using spectral clustering

... applicable **in** 3D, a preprocessing step reducing the size of the data clustered is applied to PET ...a **clustering** slice by slice with a hierarchical **clustering** ...technique. **In** this paper, we ... Voir le document complet

5

### Multiple change points detection and clustering in dynamic networks

... stationary. **In** practice, considering dynamic interactions over a continuous time interval, we assume the intensity functions of the NHPPP to depend on the hidden node clusters and to be piecewise ...observed. ... Voir le document complet

30

### Networks clustering with bee colony

... We use the modularity function to measure the strength of the community structure found by our method, which gives us an objective metric for choosing the number of communities (cluste[r] ... Voir le document complet

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