搜索资源列表
Determining_embedding_dimension_for_phase-space_re
- 假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维-false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction
ml-knn
- code for K Nearest Neighbor algorithm in java
KNNcode
- K-Nearest Neighbor datamining code in java
BasicBalance
- 负载均衡算法仿真 ：寻找最近的邻居节点 定期交换彼此之间的负载信息-Load Equalization Algorithm: find the nearest neighbor load regular exchange of information between
java
- a Grid-based, and the nearest neighbor clustering algorithm
TSP
- Nearest Neighbor for Tsp
KNN
- java实现KNN(k-Nearest Neighbor algorithm)算法,可以设置改变k值。-The code implement KNN（k-Nearest Neighbor algorithm）algorithm，and you can change the value of K.
KDTree
- k-d树（k-dimensional树的简称），是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索（如：范围搜索和最近邻搜索）。用java实现，可直接运行-kd-tree (k-dimensional tree for short), is a partition the data structure of k-dimensional data space. Mainly used in the search of the key data of the multidimensi
KDTree2Kmeans
- 基于kdtree的kmeans聚类算法，在选择最近邻中心点时使用kdtree的检索功能，提高了检索效率，特别是当k较大时，效果明显提升-kmeans clustering algorithm based on kdtree，used in selecting the center point of the nearest neighbor the kdtree retrieval function, and improve the retrieval efficiency has improve
maxFirst.src
- ICDE论文MaxFirst代码，是双色反最近邻的重要论文-ICDE papers MaxFirst code, is an important color papers reverse nearest neighbor
KNN
- 是K最邻近结点算法的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-The K nearest neighbor node algorithm abbreviated form of electronic information is a classification algorithm. KNN method based on the inclusion of data characteristic variable filter is particula
knn
- 使用java实现数据分类算法最近邻分算法knn，没有使用数据库，直接将数据存储在arraylist中-Using java nearest neighbor classification algorithm for data points algorithms knn, do not use a database, the data is stored directly in the arraylist
final
- 利用Nearest Neighbor解決Travel Salesman Problem-Solve TSP by Nearest Neighbor
Gestures
- The $1 Unistroke Recognizer is a 2-D single-stroke recognizer designed for rapid prototyping of gesture-based user interfaces. In machine learning terms, $1 is an instance-based nearest-neighbor classifier with a Euclidean scoring function, i.e., a g
KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
Fast-Nearest-Neighbor-Search-with-Keywords
- Conventional spatial queries, such as range search and nearest neighbor retri , involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spati
weka.pdf
- WEKA 中文API学习教程，详解 回归，分类，群集，最近邻算法-WEKA Chinese API tutorials, Detailed regression, classification, clustering, Nearest Neighbor algorithm
knn
- 运用java 语言简单实现knn算法，邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(Using java language simple implementation of KNN algorithm, neighbor algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simples
SpatialSearch
- 基于格子法的最近距离搜索和区域搜索。根据给定的GPS点的txt文件 搜索出距离给定经纬度的最近的用户指定的类型（例如餐馆，政府机构，atm机）(Nearest neighbor search and region search based on lattice method)