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Pearson correlation coefficient principle, and Java implementation

Reprint please indicate source: http://blog.csdn.net/u010670689/article/details/418951051. Principle:The four formulas listed above are equivalent, where e is the mathematical expectation, CoV represents the covariance, and N indicates the number of variables to be evaluated.Mathematical expectation, covariance interpretation article link: http://blog.csdn.net/u010670689/article/details/41896399The value of the correlation coefficient is between –1 an

"thinkphp" Some ideas about thinkphp correlation model and view model

The view model is more like a table virtual table, and the view contains a series of column and row data with names. However, the view does not exist in the database as a stored set of data values. Row and column data is derived from the table referenced by the query that defines the view, and is generated dynamically when the view is referenced. The view acts like a filter for the underlying table referenced in it, which is what the thinkphp manual says.In fact, the view model is the MySQL mult

Self-correlation function xcorr of Matlab

Self-correlation function xcorr of MatlabRecently, matlab was used as a tool for data statistics because of the work relationship. One of the keys was to use its self-correlation function to obtain data estimates. I learned a little matlab only when I was a bachelor. This time, I quickly passed the required matlab syntax on the basis of C/C ++, it turns out that this language is similar to a script. It is w

[Recommendation System] collaborative filtering-data cleaning under highly sparse data (Pearson correlation coefficient)

Similarity between vectors There are many ways to measure the similarity between vectors. You can use the reciprocal of distance (various distances), vector angle, Pearson correlation coefficient, and so on. Pearson correlation coefficient calculation formula is as follows: The numerator is the covariance, And the numerator is the product of the standard deviation of two variables. Obviously, the standard

"A first Course in probability"-chaper7-combinatorial analysis-expected properties-covariance, correlation coefficients

In the actual problem, we often want to use the existing data to determine whether the occurrence of two events is related. Of course, an angle to find the intrinsic logic of the two events, this angle needs to delve into the nature of the two events, and another angle is the simple method offered by probability theory: based on the probability of two events, we can describe the correlation of two random variables.In fact, we can understand the covari

"A first Course in probability"-chaper7-expected nature-correlation coefficient

As we've described before, covariance can describe the correlation between two variables to some extent, but sometimes it's not as accurate as the following example:Essentially the same two random variables, the independence is constant, but through this equation I see that if a constant is added to the front of a random variable, the result of the covariance is a relatively large gap, so it is not good for us to measure the independence between the t

Correlation function A useful option

in LR, the NotFound parameter of the correlation function Web_reg_save_param has two options, meaning the following: error: When the correlation function fails to find a matching value, LR throws an error message; EMPTY: When the correlation function fails to find a matching value, LR assigns a null value to the associated parameter value. By default, this value

The correlation model of thinkphp

thinkphp Correlation Model Operation example analysis, the need for friends can refer to the next In general, we call the following three types of relationships:◇ one-to-one links: One_to_one, including Has_one and belongs_to◇ one-to-many associations: One_to_many, including Has_many and belongs_to◇ Many-to-many associations: Many_to_manyAssociation DefinitionsThe associated curd operation of the data table, the currently supported

Modeling Algorithm (10)--correlation degree analysis of grey theory

the comparison sequence are correlated or unrelated when the%rank is 1 to indicate that the same increment is correlated (default), rank 0 indicates that the same increment is irrelevant%y returns a column vector that reflects the correlation degree [a,b]=size (compare); if (nargin 3) P=0.5;endif (nargin=ones (a,1);end% Reference Series, Comparison of sequence initialization refer=refer/refer (1);For i=1:aif (rank (i)==1)compare (i,:)=compare (i,:)/c

"Hibernate at a step"-one-way correlation mapping (i)

, it is necessary to add the attribute unique in the Comparing many-to-one correlation mappings and single-to-none foreign key association mappings, in fact, they are all two use of second, the primary Key association mappingThe first one-to-one foreign-key mapping is discussed above, which is actually a special case of many-to-a-correlation mappings, and there are a number of situations in the association

Correlation analysis using the Apriori algorithm and the fp-growth algorithm

Series of articles: Learning Notes for machine learningRecently saw the 11th chapter in "Machine Learning Combat" (using the Apriori algorithm for correlation analysis) and 12th (using the FP-GROWTH algorithm to efficiently discover frequent itemsets). As the chapter headings show, these two chapters talk about the problem of association analysis in unsupervised machine learning methods. Correlation analysi

"SSH Advanced path" hibernate mapping--multiple-to-one one-way correlation mapping (iv)

end . For the user, its associated object is group.Above are the basic principles of many-to-one correlation mappings, and the corresponding examples, let's look at the code:CodeUser classpublic class User {private int id;private String name;private Group group;public int getId () {return ID;} public void setId (int id) {this.id = ID;} Public String GetName () {return name;} public void SetName (String name) {this.name = name;} Public Group Getgroup

K-seo Accelerated Method: Stimulation + routines + stability + correlation

habitually into the door, suddenly your doorway to seal dead, they certainly at a loss, cause to leave a bad impression on others, The weight of the site is also reduced, the rankings are not natural, so the stability of the chain is very important. 4, relevance (1) The relevance of the website itself The relevance of the site itself is known, but here's a simple one, is the website column and the column direct correlation, the article and the art

Correlation between pointers and arrays in C language 1

Correlation between pointers and arrays in C language 1In C language, pointers are a type that stores addresses, such as char * p. Here p Stores the address of character data, int * p, p stores the address of the integer data. We can use * to obtain the content pointed to by this address. Array is a set of data types, such as int arr [] = {,}. Here, an integer array is declared and defined, char arr [] = "hello world"; declares and defines an array of

Hibernate one-to-one correlation

manager's mgr_id equals department mgr_id instead of Department dept _ID, this is because when the manager's profile is not property-ref, the condition of the left connection defaults to the primary key field of department, so obviously we do not want to see, and after adding property-ref= " mgr", the result is as follows: hibernate:selectdepartment0_. dept_idasdept_id1_0_0_,department0_. dept_nameasdept_nam2_0_0_,department0_. mrg_idasmrg_id3_0_0_from DEPARTMENTdepartment0_where department0_.

Critical section criticalsection of multi-threaded correlation------

Multi-Threading has been a short board, sorting out the relevant knowledge to facilitate inquiriesCritical area (Critical section)A critical section is a piece of code that is accessed exclusively by threads. At any point, if a thread is accessing the snippet, all other threads that are trying to access it will be suspended until the thread that is accessed leaves the snippet to enter, ensuring thread safety. applies to control data access . Because of its thread ownership, it can be used for in

Network address translation Correlation function usage (INET_ADDR,INET_NTOA,INET_ADDR)

("Inet_aton");Exit (Exit_failure);}printf ("addr = 0x%-10x\n", addr.s_addr);printf ("%s\n", Inet_ntoa (addr));Exit (exit_success);}[Email protected]:~/tmp/network$./a.out 127.0.0.1addr = 0x100007f127.0.0.1Char *inet_ntoa (structin) { staticchar buf[inet_ Ntoa_max_len]; return inet_ntoa_r (in, buf);}Attention:1, the return value of Inet_ntoa is a static type of char * pointer, so you need to pay attention when using (non-reentrant, you can use the thread-safe inet_ntoa_r function instead

Hibernate one-to-one correlation relationship and its lazy loading, summary

One to the other, there is the difference between the main object and the objectIf there is no Master object, then there is no meaning from the object.Main object is personFrom object to Idcardhibernate-mapping Package= "Cn.itcast.hibernate.domain"> classname= "Person"> IDname= "id"> Generatorclass= "Native" /> ID> Propertyname= "Name" /> one-to-onename= "Idcard"/> class>hibernate-mapping>hibernate-mapping Package= "Cn.itcast.hibernate.domain"> cl

Python built-in functions-digital correlation

upper limit is equal to 1.0.  random.choice (seq)Returns an element of a given sequence at random.Import= [1, 2, 3]print random.choice (a)print random.choice (a) Print random.choice (a)   Other mathematical types related modules:Decimal decimal floating-point arithmetic class decimalArray of efficient numeric arrays (characters, integers, floating-point numbers, etc.)Math/cmath standard C library mathematical operation function. General mathematical operations in the match module, comp

Data structure (c language version) code implementation of sequential stack correlation algorithm

=*S.top; return true; }//-------------------View the top element of the stack-------------------Status GetTop (sqstack S,elemtype e) { if(S.Base==s.top) { return false; } e=* (s.top-1); return true;}//------------------Determine if the stack is empty------------------Status stackempty (sqstack S) {if(S.Base==s.top) { return true; } return false;}//------------------Returns the number of stack elements------------------intstacklength (Sqstack S) {if(S.Base==s.top) { ret

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