快速计算商旅轨迹 非线性坐标数据分析
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Updated
Feb 15, 2022 - Java
快速计算商旅轨迹 非线性坐标数据分析
Just a simple implementation of K-Nearest Neighbour algorithm.
KNN Implementation in Java
Uses the K-Nearest Neighbor algorithm to classify handwritten digits.
An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity
An intelligent system to predict probability of heart diseases by using classification algorithms. View README for details.
Implementation KDTree and usable method for it
A map-reduce implementation of the k-nearest-neighbor classifier based on Hadoop with a minimal k-fold & bootstrapping cross validation and parameter tuning.
Implementation of KNN algorithm
Implementation of several classification algorithms in Java. In addition to algorithms, it was necessary to implement tools for reading data, validation and evaluation metrices.
For the purpose of classifying documents and finding the most similar ones for a given query.
KNN Classifier: Serial and Concurrent implementation on Iris Dataset
This email spam checker uses two machine learning classifiers: kNN and Naive Bayes.
Project 1 (KNN-Algorithm)
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