kNN is a non-parametric algorithm which makes use of similarity measure to classify the dataset into different categories. The similarity between the data points is computed by using Euclidean distance formula. Multiple threads are created for parallel processing and an appropriate kNN graph is ...
关键词:云计算;Hadoop;KNN;分布式;MapReduce;分类 中图分类号:TP3 文献标识码:A 文章编号:1001-7119(2013)06-0092-03 TheDesignandImplementationofCloudComputingPlatformBased DistributedKNNClassificationAlgorithm LiJing (ModernEducationTechnologyCenteroftheHuangheScienceandTechnologyCollege,zhengzhou450063,China) Abstrac...
KNN-Implementation A C++ implementation of the KNN algorithm. The function signature mimics the KNN_Classify function in Python SKLearn. The program parses a dataset and a test set. Given an input for k neighbors, the program classifies each test point with two distance metrics: Square Euclidean...
In the nano_umap folder you can find a bunch of umap_v0/v4 implementation of the UMAP like dimensionality reduction algorithm. Each version adds some improvement to the previous one. Some of the versions focus only on performance/speed improvements and some on the quality of the produced low...
39 - Day 6 kNearest Neighbors kNN Algorithm 17:23 40 - Day 7 Supervised Learning Mini Project 25:11 41 - Introduction to Week 6 Feature Engineering and Model Evaluation 00:43 42 - Day 1 Introduction to Feature Engineering 14:31 43 - Day 2 Data Scaling and Normalization 16:22 44...
Obtain data on the net, visualize the data, to see the prices clearly, judge the influence prices of each element, use linear regression to find out the price per square meter and the relationship between the building area, through the KNN algorithm to divided into high-grade village, ...
39 - Day 6 kNearest Neighbors kNN Algorithm 17:23 40 - Day 7 Supervised Learning Mini Project 25:11 41 - Introduction to Week 6 Feature Engineering and Model Evaluation 00:43 42 - Day 1 Introduction to Feature Engineering 14:31 43 - Day 2 Data Scaling and Normalization 16:22 44...
Intelligent transportation assistant refers to the integration, such as cars, trucks, bus arrangement of sensors, and control systems, the aim is, through the collection of sensor technology and algorithm of vehicle network, to help the driver away or warning of potential risks better help driver ...
yinyang_treal, the relative number of cluster groups, usually 0.1. 0 disables Yinyang refinement. metriccharacter vector, the name of the distance metric to use. The default is Euclidean (L2), it can be changed to "cos" to change the algorithm to Spherical K-means with the angular distanc...
This project is to speed up HNSW algorithm by CUDA. I expect that anyone who will be interested in this project might be already familiar with the following paper and the open source project. If not, I strongly recommend that you check them first. ...