GetMZ.py

Python密度聚类 最近在Science上的一篇基于密度的聚类算法《Clustering by fast search and find of density peaks》引起了大家的关注(在我的博文“论文中的机器学习算法——基于密度峰值的聚类算法”中也进行了中文的描述)。于是我就想了解下基于密度的聚类算法，熟悉下基于密度的聚类算法与基于距离的聚类算法，如K-Means算法之间的区别。 基于密度的聚类算法主要的目标是寻找被低密度区域分离的高密度区域。与基于距离的聚类算法不同的是，基于距离的聚类算法的聚类结果是球状的簇，而基于密度的聚类算法可以发现任意形状的聚类，这对于带有噪音点的数据起着重要的作用。(The main goal of the density based clustering algorithm is to find high density regions separated by low density regions. Different from distance based clustering algorithm, the clustering results based on distance clustering algorithm are spherical clusters, and density based clustering algorithm can detect clustering of arbitrary shapes, which plays an important role in data with noisy points.)

说明：  学生教学基础，帮助了解编程的基本算法思路。(Basic Algorithmic Thoughts to Help Understand Programming)

该压缩包主要是pyqt5的开发资料，需要设计界面等的同学可以下载。(The compressed packet is mainly pyqt5 development information.)

说明：  本书以Python为样本，不仅介绍了编程的基本概念，还着重讲解了 编程语言的范式（面向过程、面向对象、面向函数），并把编程语言的 范式糅在Python中，让读者不仅学会Python，未来在学习其他编程语言 时也变得更加容易。(aking Python as a sample, this book not only introduces the basic concepts of programming, but also focuses on the programming language paradigm (process-oriented, object-oriented, function-oriented), and incorporates the programming language paradigm into Python, so that readers can not only learn Python, but also become easier to learn other programming languages in the future.)

Python基础教程（第3版)，2017年出版，学习python的好工具。(Python Basic Tutorial (3rd Edition))

说明：  无源传感器网络的分布式能量自适应最小化延迟调度(Distributed Energy Adaptive Minimization Delay Scheduling for Passive Sensor Networks)

一个语音信号处理的python程序，采用pyQt写的界面。做的是最基本的语言处理，适合初学者及想参考QT界面编程的朋友。(a voice process program by python)

count the distance of word net

说明：  基于勾勒图的图像检索源码（download from github）(code for DeepSBIR-master which is download from github)

说明：  用pyhton编写的IDM模型，可以实现交通流仿真，包括跟驰和换道(The IDM model written by Pyhton can realize the traffic flow simulation, including following and lane changing)