the ability to add or remove a stock from the portfolio in response to changes in fundamentals even if the ratio of its price to book value is unchanged. Interestingly, this only slightly more complex
Clustering Result In subject area: Computer Science A 'Clustering Result' is the outcome of grouping entities based on a similarity measure in unsupervised learning tasks. The result is dependent on the chosen similarity notion, such as distance metrics like squared Euclidean distance, and can be ...
To obtain deep insights into the cellular changes underlying COVID-19, we reconstructed single-cell expression data of patient blood and lung immune data. While in our initial analysis [24] of blood data we detected few immune cell types, expression reconstruction with DISCERN resulted in the ...
(ML) and cannot-link (CL) constraints, respectively38,39. With the proper setup, pairwise constraints have been proved to be capable of defining any ground-truth partition37,40. In the context of scRNA-seq studies, pairwise constraints can be constructed based on the cell distance computed ...
CLASSIX depends on two parameters and its tuning is relatively straightforward. In brief, there is a distance parameter [Math Processing Error] that serves as a tolerance for the grouping in the aggregation phase, while an [Math Processing Error] parameter specifies the smallest acceptable cluster ...
First of all, suppose that the input two images are Ni, Nj, through the parallel fast Fourier transform can obtain the two images related spectrogram Fi, Fj, its size is (n/2)×360, by calculating the spectrum map to calculate the cross-correlation matrix P, the specific calculation such...
The physiological relevance of chromosome clustering in human oocytes and its underlying mechanism are unknown. Chromosomes in starfish and Xenopus oocytes are also transported before spindle assembly. The nuclei of these oocytes are over two times larger than those of human oocytes and their ...
Hierarchical clustering is a powerful algorithm, but it is not the only one out there, and each type of clustering comes with its set of advantages and drawbacks. Let’s understand how it compares to other types of clustering, such as K-means and model-based clustering. Many more technique...
Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene expression at single-cell resolution, which improves the detection of known and novel cell types and the understanding of cell-specific molecular processes [1,2]. The extension of the basic scRNA-seq technology with ...
The Leiden algorithm from Scanpy has been applied to DeepST as the method of downstream clustering, and its resolution has been searched by using a step size of 0.01 when the number of clusters is unknown. The conST [30] is an interpretable contrastive learning framework designed for analyzing...