首页/数据集/SDOclust Evaluation Tests

SDOclust Evaluation Tests

B2FIND2026-04-28 收录

算法评估

稀疏数据

数据链接：

https://b2find.eudat.eu/dataset/0f96f8a8-83d5-5301-a06d-5c8ff6994614 数据链接链接失效反馈

官方服务：

资源简介：

SDOclust Evaluation Tests conducted for the paper: SDOclust: Clustering with Sparse Data Observers Context and methodology SDOclust is a clustering extension of the Sparse Data...

应用场景：

相关数据集

Hamiltonian Path Problem Benchmark

图论

算法评估

该数据集是一个基准测试，用于评估在汉密尔顿路径问题中，带有动态一致性检查（DCC）的s(CASP)算法与不带有DCC的算法的性能表现。数据集包含了不同规模图上的性能结果，以秒为单位，并附有加速因子。规模覆盖了从4个顶点到7个顶点的各种图形。该数据集的任务是对带有DCC的s(CASP)算法的性能进行评估。

arXiv100

Histogram variances of the original and encrypted images.

图像加密

算法评估

Histogram variances of the original and encrypted images.

Figshare2020-10-23 更新30

A systematic evaluation of pattern discovery algorithms

生物序列模式分析

算法评估

Pattern discovery algorithms are methods for discovering recurrent, non-random motifs widely used in the analysis of biological sequences. Many algorithms exist but few comparisons have been made amon

NIAID Data Ecosystem30

2d synthetic dataset from Clustering: how much bias do we need?.

算法评估

偏差分析

Scientific investigations in medicine and beyond, increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projec

The Royal Society Figshare2020-10-15 更新40

Sensitivities (%) of various predictors on the signal peptide protein benchmark datasets.

信号肽预测

算法评估

Sensitivities (%) of various predictors on the signal peptide protein benchmark datasets.

Figshare2015-12-02 更新30