The data table structure of level Two classification is as follows:
The PHP code is as follows
Copy Code code as follows:
/**
@ article classification with two-level classification
@ param int $rootnum--Number of first class categories
@ param int $childnum--Number of categories at level two
@ return value Array
@ Date 2011.2.24
*/
function Tem
Today we introduce naive Bayesian classification algorithm, talk about the basic principles, and then use text classification practice.
A simple example
Naive Bayesian algorithm is a typical statistical learning method, the main theoretical basis is a Bayesian formula, Bayesian formula is the basic definition as follows:
The formula seems simple, but it can sum up history and predict the future. To the
For multi-level classification of conventional processing methods, many programmers may use the program to read first-level classification records, and then through the first class classification loop read the following sub-classificationThe disadvantage of this treatment is: if the amount of data, sub-classification a
The infinite classification method may be used in most days for data classification. We may have various subclasses for news or software channels, but we do not know these subclasses, so we have to use the infinite classification method, next I will introduce it to you.
First category (parent category)-> second category (sub-category)-> third category (Sun catego
First, K-Nearest neighbor algorithm K-Nearest neighbor algorithm is a classification algorithm, classification algorithm is supervised learning algorithm, supervised learning algorithm and unsupervised learning algorithm the biggest difference is that the supervision of learning needs to tell the machine some of the correct things, that is, training data sets, and unsupervised learning algorithms do not nee
The linear regression model is suitable for scenarios where output is a continuous value, such as the output as a house price. In other scenarios, the model output can also be a discrete value, a sample category. For such classification problems, we can use a classification model, such as Softmax regression.For the sake of discussion, let's assume that the input image has a 2x2 size and sets the four eigenv
a summary of KNN algorithm
KNN classification algorithm is simple and effective, can be classified and return.Core principle: The characteristics and classification of each data of a given sample dataset, the characteristics of the new data and the sample data are compared to find the most similar (nearest neighbor) K (k
in short: Birds of a feather flock together second, for example:
As shown in the follo
This article summarizes two PHP unlimited class implementation code, there is a need to learn friends can refer to.main idea: first look at the third and fourth lines, the value of the parent class ID (parentid) is 1, representing the subclass of the class that belongs to Id=1, and, a, 22 row because it is a level classification, there is no superior classification, so the parent class ID (parentid) value i
Recently asked infinite classification of tree-like problems more, so a happy to write a, I just finished, we use to see, see how to achieve faster, simpler, put your tree also posted out (to query only once database)
This is a categorized list of class trees that support infinite classification A category can have both "categories that contain subclasses" and "final
"Google announced today the open source TensorFlow advanced software package Tf-slim, enabling users to quickly and accurately define complex models, especially image classification tasks." This is not reminiscent of a computer vision system that Facebook last week open source "Understanding images from pixel level". In any case, there are many powerful tools in computer vision. The following is the official blog post translation. Back to "0831" to do
In the use of the table, we not only on the work or learning data input, usually some of the data collected, but also to help a certain busy. The following small series for you to introduce the WPS table in the classification of the use of subtotals, small partners must be surprised.
1 Starting with the instance
Meal Booking Record
I serve on a daily basis, and my friends have to pay for the lunch order. In order to pay the simple, the meal fe
1. Analysis
When we use PHP to create a website, classification is very important. The second classification is called subclassification under the classification. Currently, most websites are classified only into the third category:
First category (parent category) --> second category (sub-category) --> third category (Sun category)
The more kinship
Design | data | Database design description of storage information classification in database ZYX ZYX 2 112 2002-11-14t03:56:00z 2002-11-20t01:46:00z 2002-11-20t01:46:00z 3 259 1480 ufosft Nanjing 12 2 1817 9.2812 7.8 lb 0 2
The design explanation about the classification of the customer basic data storage information in the database
In the design of the system database, often use the
First classification (parent classification) –> second classification (subcategory) –> Third classification (sun classification)
The more kinship classifications, the more complex and difficult the control of procedures and databases becomes.
Classification algorithm and our life is closely related to the current data mining is the most widely used algorithms, such as: The known series of temperature, humidity sequence and the history of the statistics, we need to use historical data as a learning set to determine whether tomorrow rain, and bank credit card fraud discrimination.Classification problem has a learning set, according to the learning set to construct discriminant function, and
Resources"1" Spark MLlib machine Learning Practice"2" Statistical learning methods1. Logistic distributionSet X is a continuous random variable, and x obeys a logistic distribution means X has the following distribution function and density function,。 where u is the positional parameter and γ is the shape parameter. Such as:The distribution function is symmetrically centered (U,1/2), satisfying: the smaller the shape parameter γ, the faster the center part increases.2. Logistic regression modelT
configuration over time, and the topmost row is the initial state setting of one-dimensional cellular automata, followed by the updated state of each step.Cellular automata for "Most classification (Majority classification)" TasksThe cellular auto-confidential can distinguish between the open state and the state in the initial state. If the number of open states is the majority, then all the cells should b
Copy Code code as follows:
/*========================================================
Class Name: Catalog
Function: Infinite Rating class
Method:
Tree Display category
Catalog_show ($id)//parameter $id recursive call
Process: Find the parent category for 0 all root categories-> have been recursively obtained all categories and displayed
Add a Category
Catalog_add ($uid, $name)//$uid Parent ID//$name category name
Process: Add a new child ID under this ID according to $uid
Delete C
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