As a result, the method efficiently deals with the large-scale data clustering problem. The main contributions of our work are as follows: The rest of this paper is organized as follows. In Section 2, we provide
To reduce the time and space complexity of spectral clustering, we construct an anchor graph to approximate the similarity matrix and use SVD to replace EVD. More importantly, this proposed algorithm can obtain multiple base clusterings by running spectral embedding once, which avoids running ...
primarily due to their ability to fuse information from different views. As mentioned earlier, graph clustering methods typically include three steps: first, constructing a similarity graph; second, obtaining spectral embeddings; and finally, implementingk-means or spectral rotation...
It is a nonlinear method based on spectral decomposition of a low-rank graph matrix. To efficiently generate different hash tables, we randomly sample 20 items as the anchor points for each iteration. The length of the hash code is set to m = log2(n/block-sz) + 1. For LSH and LSH...
The clustering of SNP allele distances among the sampled fish did not correspond to their pairwise ab- solute differences (PAD) in expression levels when all transcriptome contigs were evaluated (Fig. 6a). However, when the mostly highly expressed contigs (>5 RPKM in 2 or more fish) were ...
Anchor-based graph embeddedAdaptive neighbor methodRecently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of the SC is ofen ...
We pose video object segmentation as spectral graph clustering in space and time, with one graph node for each pixel and edges forming local space-time neighborhoods. We claim that the strongest cluster in this video graph represents the salient object. We start by introducing a novel and effici...
For the X-band radar, the main backscatter mechanism at the ocean surface is Bragg scattering when the NRCS (normalized radar cross section) is proportional to the spectral density of the surface roughness [19]. The X-band radar antenna has a compact bulk and excellent azimuth discrimination, ...