Single-link Clustering http://soj.sysu.edu.cn/show_problem.php?pid=1000&cid=1750 题目说是单链聚类,其实就是最小生成树,输出第k-1大的边; 我用的是kruskal算法: 1#include <iostream>2#include <cstdio>3#include <cstring>4#include <cmath>5#include <algorithm>6#include <cstdlib>78usingnamespa...
Single-link-Clustering Description Given n nodes in a two-dimensional space, we want to use single-link custering method to find k clusters. This is equivalent to finding an MST (Minimum spanning tree) of these nodes and deleting k-1 longest edges. Your job is to output the length of th...
This chapter focuses on the computational algorithms for the single-link clustering method that is one of the oldest methods of cluster analysis. This clustering method is also known by many other names because of the fact that it has been reinvented in different application areas and that there...
Song Y, Jin S, Shen J (2011) A unique property of single-link distance and its application in data clustering. Data Knowl Eng 70:984-1003Y. Song, S. Jin, J. Shen, A unique property of single-link distance and its application in data clustering, Data & Knowledge Engineering 70 (11)...
An improved algorithm for a complete linkage clustering is discussed.The algorithm is based,like the algorithm for the single link cluster method (Slink) presented by Sibson (1973),on a compact representation of a dendrogram: the pointer... D Defays - 《Computer Journal》 被引量: 735发表: ...
Single-cell analysis of gene expression offers the possibility of exploring cellular and molecular heterogeneity in stem and developmental cell systems, including cancer, to infer routes of cellular specification and their respective gene regulatory modu
A whale optimization algorithm (WOA) approach for clustering. Cogent Math. Stat. 2018, 5, 1–13. [CrossRef] 41. Mirjalili, S. SCA: A Sine Cosine Algorithm for solving optimization problems. Knowl. Based Syst. 2016, 96, 120–133. [CrossRef] 42. Humaidi, A.J.; Oglah, A.A.; ...
step by step guide that covers the entire canonical analytic workflow to analyse scRNA-seq data including read mapping, quality controls, gene expression quantification, normalization, feature selection, dimensionality reduction, and cell clustering useful for trajectory inference and differential expression....
S6B). To further investigate TE expression patterns, we performed clustering analysis of TE families that were differentially expressed after DAC treatment (Fig. 3, Supplementary Figs. S7 and S8). In KG1a cells, we observed a subgroup of mostly DAC treated cells with co-ordinated up-regulation...
Everitt, B.S., Landau, S., Leese, M., Stahl, D.: Miscellaneous Clustering Methods, In Cluster Analysis, 5th edn. Wiley, Chichester (2011) Book Google Scholar Wagner, S., et al.: Architecture and design of the heuristiclab optimization environment. In: Advanced Methods and Applications in...