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AlgorithmKNN
- knn算法实现，在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别。-knn algorithm, given the new text, considering the text focused on the training of the new text with the closest (most similar) K-chapter text, according to the text of this art
MLKNN
- 使用MATLAB实现的基于多类别的KNN算法，简称为MLK-Using MATLAB to achieve KNN algorithm based on multi-category, referred to as MLKNN
KNN-Code
- this algorithm is about KNN and centroid classifier it can work with 20news group dataset-this algorithm is about KNN and centroid classifier it can work with 20news group dataset
KNN
- kNN最近邻算法实现无线室内定位，给出了全部的源码，并对其定位精度给出图示结果-KNN nearest neighbor algorithm implementation wireless indoor positioning, all of the source code is given, and the positioning accuracy of the graphic results is given
knn_self
- 数据统计学习中的knn算法，实现对多组数据的交叉验证-Statistics Learning knn algorithm to achieve the multi-group cross-validation data
knnsf
- KNN算法的matlab程序，用于故障监测的程序-KNN algorithm matlab procedures, the procedures for fault monitoring
image-feature
- 把 SIFT 算法应用在牙齿模型图像上，检测牙齿图像的特征点。 方法：首先采用高斯差分算子 DoG 搜索整个图 像的尺度和位置信息，从而确定具有代表性尺度、方向的特征点。基于其稳定性选择关键点，得到一个详细的模型以确定每个候 选点的合适位置和范围。基于局部图像梯度方向信息将方向矢量和关键点对应起来。在选定范围内的每个关键点周边区域测量 局部图像梯度，并采用 KNN 算法进行特征匹配。 结果：通过大量的实验和与其他特征提取方法相比较，该方法能有效地检测牙 齿模型图像的特征，并为牙齿
Assignment_1
- KNN algorithm,it simply implements the KNN algorithm in datamining it is not complete but can get the idea of properly implementing it
KNN_2011211651
- 应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the tr
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
knnclassification
- 非常好的学习KNN算法的，能全面掌握关于KNN算法的原理，实现等-Very good learning KNN algorithm, can fully grasp on the principle of KNN algorithm, implementation, etc
classfication
- 基于贝叶斯及KNN算法的newsgroup文本分类器，整个程序，可以直接导入-And KNN algorithm based on Bayesian text classifier newsgroup, the entire program, you can directly import
knn
- K临近算法的一个简单示例，明了易懂，并添加了极其详细的中文注解，即使完全不会编程，也能理解。-A simple example of K approaching algorithm, clear and easy to understand, and add a very detailed Chinese comments, even if not entirely programmed, can understand.
KNN1
- KNN算法的源代码 有效果图和原始数据，能更好地分析实验环境。-KNN algorithm source code has renderings and raw data, to better analyze the experimental environment.
knn
- 利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。-Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.
KNN
- 机器学习K近邻分类算法，使用的是C++编程。如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。-K-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
KNN
- knn最近邻算法。数据挖掘经典算法之一，包含了数据库-KNN nearest neighbor algorithm. Data mining is one of the classic algorithm, the database contains
KNN-Face-Recognition
- KNN分类算法实现人脸识别，数据集为ORL。训练样本分别为2、4、6，其余为测试样本。-KNN classification algorithm for face recognition, the data set for the ORL. 2,4,6 training samples respectively, the rest of the test samples.
KNN
- k近邻算法的matlab程序实现，注释详尽，通俗易懂，适合初学者-matlab s program of k-nearest algorithm
A-SHOT-BOUNDARY-DETECTION-ALGORITHM-BASED-ON
- Shot boundary detection is always an important topic in digital video processing. It is the first important task of content-based video retrieval and indexing. In this paper, a new shot boundary detection algorithm is proposed, based on Parti