📦 New Sparse Matrix Storage Format: Contiguous Clustering (CC) This project introduces Contiguous Clustering (CC) — a novel storage format optimized for diagonally dominant sparse matrices. It was ...

Figure 1. The workflow for studying age-related molecular development of the brain. First, arrange the data into an n × p matrix, where features (p) are represented as columns and samples (n) as rows.

We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our method is based on the ...

Most clustering algorithms, especially those that are distance-based like DBSCAN and HDBSCAN, rely on a measure of dissimilarity (or distance) between data points. One-hot encoded data alone: Jaccard ...

Sparse subspace clustering (SSC), as one of the most successful subspace clustering methods, has achieved notable clustering accuracy in computer vision tasks. However, SSC applies only 10 vector data ...

In the majority of the resulting algorithms however, we must a priori decide which tasks can most judiciously be grouped together. In contrast, this paper proposes an integrated Bayesian framework for ...

Figure 1. The workflow for studying age-related molecular development of the brain. First, arrange the data into an n × p matrix, where features (p) are represented as columns and samples (n) as rows.