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Help documentation-Translation-statistics toolbox-exploratory Data analysis-cluster analysis-hierarchical Clustering (linkage) (6)

Example Compare Cluster Assignments to ClustersImport the sample data.Load FisheririsFrom the Anderson Iris Floral Data set, the ward linkage calculates four clusters and ignores the type information.Z = Linkage (MEAs, ' Ward ', ' Euclidean ');c = Cluster (Z, ' Maxclust ', 4);The relationship between cluster results and three species was observed.Crosstab (c,species)Print the first 5 lines of Z.firstfive = Z (1:5,:)Generates a system tree graph

Help documentation-Translation-statistics toolbox-exploratory Data analysis-cluster analysis-hierarchical Clustering (cluster,clusterdata) ( 1)

following conditions are available:Linkage is ' centroid ', ' median ' or ' ward 'Distance is ' Euclidean ' (default)When Savememory is ' on ', the linkage run time and the number of dimensions (number of columns in x) are proportional. When Savememory is ' off ', the demand for linkage memory is proportional to N2, where n is the number of observations. The best (and least time-consuming) savememory settings for all choices depend on the dimension of the problem, the number of observations, or

Verify the strength of Oracle collection statistics parameters granularity data analysis

Tags: drop ora way and data test var sub glob In the recent study of Oracle statistics, the method for collecting statistics is as follows:Dbms_stats. Gather_table_stats (Ownname VARCHAR2,---owner name tabname VARCHAR2,---table name partname VARCHAR2 DEFAULT NULL,---The partition name to parse Estimat E_percent number DEFAULT NULL,---the scale of the sample block

Read the research on comparison and analysis of data mining classification algorithms based on Neural network Master of Engineering, Anhui University: Changkai (ii) Introduction to Datasets

properties:Perimeter PerimeterCompactness CompactLength of kernel coresWidth of kernel core widthAsymmetry coefficient asymmetry coefficientLength of kernel groove grain lengthInput: These attributes aboveOutput: It's the kind of discrimination that belongs.5. "Does the Indians have diabetes"?(Pima Indians Diabetes Data Set) is determined by studying the properties of eight numeric types and then by the corresponding conclusions.The last part of the

8.MATLAB parameter estimation and hypothesis testing-nonparametric parameter test-distribution fitting and test __matlab data analysis and statistics

Fitting and testing of distribution More MATLAB Data Analysis Video Please click, or in the NetEase cloud classroom search "MATLAB data analysis and statistics" http://study.163.com/course/courseMain.htm?courseId=1003615016 In some statistical inferences, it is generally ass

May I ask the user statistics solution with a large data volume?

Ask a user statistics solution with a large data volume, for example, if an application has million users. 500 txt files are generated every day. each file corresponds to a user's operation record. the file content includes the user name, ip address, access page, mac, access duration, and other fields) now, we need to perform

Yuo Hao: A brief talk on Baidu Statistics ten Data Analysis index

In many Web site statistics tools, Baidu statistics with its powerful data analysis function by many webmaster praise. Most of the site statistics tools are mainly on the site of the number of indicators to be counted, and Baidu Statisti

Data mining-statistical analysis (5: Statistics)

Distribution When N of the sample distribution is large, the extreme distribution is used as an approximation of the sample distribution. This extreme distribution is called a progressive distribution.Approximate distribution obtained by Random Simulation Distribution of observed values satisfied by repeated experiments.Several Important Distributions derived from normal distribution, Chi-square distribution, tdistribution, and F distribution It plays an important role in variance

In-depth and simple data analysis: Not in-depth enough. Suitable for technical and business personnel to read as an entry to statistics

Deep and simple data analysis is one of the "deep and simple" series of American o'reilly press. This series is characterized by a lot of thoughts on how to make readers more comfortable to read and remember more content in the book. Although the book is thick, there are many illustrations. Illustrations and texts are often mixed together without obvious boundaries. It is really easy to read. It is easier t

Python Data Statistics analysis

#-*-coding:utf-8-*-#analysis of food and beverage sales data statistics from __future__ Importprint_functionImportPandas as Pdcatering_sale='.. /data/catering_sale.xls' #Dining Datadata = Pd.read_excel (Catering_sale, Index_col = u'Date')#reading data, specifying "date" as i

Data analysis using Python (ix) Pandas summary statistics and calculations

The Pandas object has some common mathematical and statistical methods. For example, the sum () method, which makes the column subtotal: the sum () method passed in Axis=1 is specified as a horizontal summary, which is subtotal: Idxmax () gets the index of the maximum value: There is also a rollup that is cumulative, cumsum (), compared to it and Su The difference between M ():The unique () method is used to return only values in the data: the Value_

The performance analysis of STL map and dictionary tree in keyword Statistics __ algorithm and data structure

Reprint Please indicate the source: http://blog.csdn.net/mxway/article/details/21321541 In the search engine in the usual number of keywords appear in the statistics, this article analyzes the use of C + + STL map for statistics, and the use of Dictionary tree statistics in the running speed, space and applicable occasions for

"Data structure and algorithm analysis: C Language Description _ Original Book Second Edition" CH2 Algorithm analysis _ After class exercises _ part of the solution

):int isprime (int N) {int i;if (n = = 1) return 0;if (n 2 = = 0) return 0;for (i = 3; I For B, obviously there is, B = O (LOGN).For C, because B = O (logn), 2B = O (N), that is, 2B/2 = O (√n), the worst-case run time in B is: O (2B/2)For D, the running time of the latter is the square of the former running time, which is easily known by the solution in C.For E,wiss said: B is the better measure because it more accurately represents the size of the in

BI Solution sharing: Building the real estate BI data analysis system

In recent years, the rapid development of China's real estate industry, industry integration has become a trend, gradually from regional development into a group of cross-regional integrated developers. However, for the ultra-conventional speed of the development of real estate enterprises, the challenges they face is also ultra-conventional. It is a very complicated system engineering to make scientific decision and balance resources rationally in th

Cause Analysis and Solution for 415 error in json format data uploaded by Ajax to the background, json415

Cause Analysis and Solution for 415 error in json format data uploaded by Ajax to the background, json415 Problem description: Error 415 when ajax uploads a json-format datagram to the background, as shown in Page code function saveUser(){var uuId = document.getElementById("uuid").value;var idCard = document.getElementById("idCard").value;alert(uuId+idCard);// v

ORA600 [13011] logical error analysis and solution for tables and index data

ORA600 [13011] logical error analysis and solution for tables and index data I. Problem Overview 1. database environment: Oracle Database 11.2.0.3.0 for Oracle Linux Server release 6.4, RAC, Virtual Machine 2, inspection found a Database alert. log reported ORA-00600 [13011] error, frequent error, although did not cause database downtime, but has affected the bus

Analysis of large data solution based on Microsoft SQL Server Parallel-Warehouse

Review As more and more organizations of data from the GB, TB level to the PB level, marking the entire social informatization level is entering a new era-the big data era. The processing of massive data, analytical ability, increasingly becoming the key factor in the future of the organization in this era, and based on the application of large

Analysis and solution of Spring Multi-data source distributed transaction

according to the database, in the database corresponding to the driver package can be found.Key Value"/> Then the Jtatransactionmanager transaction manager configuration.Jtatransactionmanager has two important properties that need to be configured for TransactionManager and usertransaction. The corresponding configuration classes are as follows:  Note: You only need to configure the TransactionManager property in JotmFinally, the Atomikos configuration file jta.properties.Configuration path: Ro

Analysis of Mysql data Rollback Error solution _ MySQL

Analysis of Mysql data Rollback Error solution bitsCN.com This section describes how to solve Mysql data rollback errors. For more information, see MYSQL transaction processingThere are two main methods.1. Use begin, rollback, and commit to implementStart a transactionRollback transaction rollbackCommit transaction val

DEDECMS New content Model "error saving data to database Attach table error ' xxx ' errors" cause analysis and solution (GO)

because the field name of the field we created is problematic (whether the system holds the field or exists and conflicts, etc.), and the SQL statement syntax is normal but still does not save the article properly.In addition, some of the similar problems on the network reflect the fact that if you add a field simply by changing the " model field configuration (text mode)" column when creating a model, you do not create a field by clicking the "Add Field" button, because it is a façade, The fie

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