mrp algorithm

In the supervision of learning, there is a label information to assist the machine to learn the similarities between similar samples, in the prediction only to determine the given sample and which category of training samples of the most similar can be. In unsupervised learning, no longer have the guidance of the label information, encountered a one-dimensional or two-dimensional data division problem, people with the naked eye is very easy to complete, but the machine is dumbfounded, figure (1)

Simple Bus transfer algorithm: Three tables (most simplistic, do not consider fuzzy query, one-way street and other things):1, the Site table Stop (stop_id,stop_name)2, route table line (line_id,line_name)3, Route site table (point line Relational table) Linestops (line_id, stop_id, seq) the SEQ here refers to the order of a site in a line. Now analyze the algorithm:1, Direct LineFirst of all, according to

This series of Bowen introduces the common probabilistic language model and its deformation model, mainly summarizes the deformation model and parameter inference method of pLSA, LDA and LDA. The preliminary plan is as follows: First article: pLSA and EM algorithm Second article: Lda and Gibbs samping The third article: LDA deformation model-twitter Lda,timeuserlda,atm,labeled-lda,maxent-lda, etc. Fourth: A summary of paper classification based on def

7.2 Two-Item distribution algorithmAuthor Bai NingsuAugust 15, 2015 22:51:38 Abstract: In this paper, the study of the geometric distribution of statistics, two distribution, Poisson distribution in depth, based on a variety of distribution of basic concepts and core knowledge introduced. For the realization of various distributions and the application of the real environment is the purpose. In conducting a series of independent experiments, each has both success and failure, and the pr

natural, how can users effectively dig out all of these patterns? Let's discuss the simplest and most natural way. Before we talk about this algorithm, we first declare a feature-aprior feature in frequent pattern mining.Aprior Features:This feature means that if an item set (project collection) is not a frequent item set (a frequent collection), then any set of items that contain it must not be a frequent collection. The collection here is a pattern

Classic Algorithm Research Series: 1. A * Search Algorithm Author: July, January 2011----------------------------------Bloggers:1. In this series of classical algorithm research, I hope this series of articles is not good enough.2. This classic algorithm research series is my reference. It is an original article, which

Refer to the previous article: paxos algorithm 1. 1. Number Processing According to P2c , Proposer will first consult the acceptor to view the maximum number and value it approves before deciding which value to submit. Previously, we have been emphasizing higher-numbered proposal without explaining how to handle low-numbered Proposal. | -------- Low number (L P2c The correctness is guaranteed by the higher serial number H generated by the current ser

The algorithm foundation of the introduction of rereading algorithm Insert Sort? An efficient algorithm for small amounts of data. Principle: The elements in the array are divided into two parts throughout the process, sorted part A and unsorted part B In the insert process, never sort part B takes a value to insert the sorted part A

Sorting algorithms can be divided into internal and external sorting, the internal sorting is the data records in memory to sort, and the external sort is because of the data is very large, one can not hold all the sort records, in order to access the external memory. Common internal sorting algorithms are: Insert sort, hill sort, select sort, bubble sort, merge sort, quick sort, heap sort, cardinality sort, etc. algorithm one: Insert sort Insertion

Prim algorithm1. OverviewPrimm algorithm (prim algorithm), an algorithm in graph theory, can search for the smallest spanning tree in weighted connected graphs. This means that the subset of edges searched by this algorithm includes not only all the vertices in the connected graph ( English :Vertex (graph theory)), bu

Reprinted from: http://www.cnblogs.com/biyeymyhjob/archive/2012/07/31/2615833.html Shortest path-dijkstra algorithm and Floyd algorithmDijkstra algorithm1. Definition OverviewThe Dijkstra (Dijkstra) algorithm is a typical single-source shortest path algorithm that calculates the shortest path of a node to all other nodes. The main feature is to extend from the ce

ObjectiveThis article continues our Microsoft Mining Series algorithm Summary, the previous articles have been related to the main algorithm to do a detailed introduction, I for the convenience of display, specially organized a directory outline: Big Data era: Easy to learn Microsoft Data Mining algorithm summary serial, interested children shoes can be viewed, T

Data mining algorithm Summary-EM Algorithm Author: Liu Weimin Graduated from: Institute of computing, Chinese Emy of Sciences Occupation: Search Engine lovers 08:54:52 1.What is EM algorithm? The EM algorithm is a very important algorithm in machine learning, that

Prim algorithm1. OverviewPrimm algorithm (prim algorithm), an algorithm in graph theory, can search for the smallest spanning tree in weighted connected graphs. This means that the subset of edges searched by this algorithm includes not only all the vertices in the connected graph ( English :Vertex (graph theory)), bu

Prerequisite conditions Specific areas of experience requirements: no Professional experience Requirements: no industry experience Knowledge of machine learning is not required, but readers should be familiar with basic data analysis (e.g., descriptive analysis). To practice This example, the reader should also be familiar with Python. Introduction to K-means Clustering K-means clustering is an unsupervised learning that is used when there is unlabeled data (for example, the data does not d

From: Http://hi.baidu.com/zhy65991/blog/item/0a663172b039321a8601b0e4.html Usually, the encryption algorithm used is relatively simple and efficient, the key is short, encryption and decryption speed, deciphering extremely difficult. This paper introduces the use of Md5/sha1,dsa,desede/des,diffie-hellman. 1th Chapter Basic Knowledge 1.1. One-Key cipher system Single-key cryptosystem is a traditional encryption al