astronaut diaper

I believe that a lot of people who just do mom and dad in the child bag diapers, there will be a misunderstanding, is that the boy and girl bag law is the same, hehe, actually, there will be some differences between men and women.Female baby urination compared to, urine usually back flow, you can choose in the rear of the hips more cushion some diapers, or the corresponding position of the diaper folded into a double. You can also buy a pad, mat under

Description Problem Description:The astronauts lost their way in space, and now in his starting position, a virtual XYZ coordinate system, called an absolute coordinate system, in which the astronaut's frontal orientation is in the positive direction of the x-axis and the head is in the direction of the z-axis, the initial state of the astronaut is shown in the following illustration: The six directions are respectively labeled, the x,y,z positive

This tutorial's creative ideas and image rendering methods are well worth learning. The tutorials used are very gorgeous material, many of which are background material, need to slowly dissolve the map and color. The general material is arranged,

2: scan the data record again for the items in each record that appear in the table that is generated in Step 1, sorted by the order in the Table. initially, a new root node is created, marked as null;　　1) First record:{milk, bread}, sorted by step 1 table filtered to get still {milk, bread}, create a new node, idname {milk}, Insert it under the root node, set count to 1, and create a new {bread} Node. Insert below the {milk} node and insert the following as Follows:　　2) The second record:{bre

. Initially, a new root node is created, marked as null;　　1) first record: {Milk, bread}, sorted by step 1 table filtered to get still {milk, bread}, create a new node, idname {milk}, insert it under the root node and set count to 1, then create a new {bread} node, insert into {milk} Below the node, insert the following as follows:　　2) The second record: {bread, diapers, beer, eggs}, filtered and sorted after: {bread, diapers, beer}, found that the root node does not contain {bread} son (have a

using Apriori algorithm to correlate analysis Apriori principle If a set of items is frequent, then all subsets of it are also frequent. That is, if {0,1} is frequent, {0},{1} is also frequent. This principle is intuitively not helpful, but if you look at it in turn, it works. If an item set is not frequent, then all of its superset are also infrequent. That is, if {0} is also infrequent, any superset of {0}, such as {0,1}, is also infrequent. Important Definition # Test Item Set: [[' Soy

Apriori algorithm is a very basic and classical algorithm in association rules mining, I think many tutorials appear a lot of formulas are not very suitable for a beginner to understand. Therefore, this article lists a simple example to illustrate the entire step of the next Apriori algorithm.The following table represents a transactional database D, where the minimum support level is 50% and the minimum confidence level is 70%, and the frequent association rules in the transactional database ar

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often appear together, the set of pictures (wine, diaper, soy milk) is an example of frequent itemsets. The Association rules for wine, such as diapers, can also be found in this data set, meaning that if someone buys a diaper, he is likely to buy the wine as well. (Extended reading: Diapers and beers?) ）We measure these interesting relationships with support and credibility. The support level of an item s

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Transfer from Mu ChenRead Catalogue Objective Some concepts in the field of correlation analysis Fundamentals of Apriori Algorithms Implementation idea and implementation code of frequent item set retrieval The realization and implementation Code of association rule Learning Summary Back to the top of the prefacePresumably everyone has heard the classic story of the field of data mining-the story of "beer and diapers".So, how is it that the relationship between

={milk, bread, diapers, beer, eggs, cola. Definition of association rule, confidence degree and self-sustaining degree Association rules are associated rules that are defined in this way: two disjoint non-empty sets X, Y, and if there is a x-->y, say X-->y is an association rule. For example, in the above table, we find that buying beer will definitely buy diapers, {beer}-->{diaper} is an association rule. The strength of association rules is descri

Summer, with the gradual warming of the weather, to become a new mother is a challenge, because baby diapers wear too long easy to sultry, cause baby red buttocks and other problems, but as long as the use of the key to understand diapers, you can let the baby with both comfortable and cool.Days of hot selection of diapers, but also to consider the water absorption and high permeability of diapers. In addition, pay attention to the diaper model and ba

Miffy Diaper Cloud Warehouse under the single system development can find Mr. Lu "l8o →ll72 electric →649l" rice paper diaper Weixin system is mainly based on the pain point of the micro-business, through the agent management, agents under the single management, micro-commercial anti-channeling goods management, micro-business authorization management, micro-commercial anti-counterfeiting control price mana

To give you Photoshop software users to detailed analysis to share the fat girl to become beautiful thin after the period of the repair map tutorial. Tutorial Sharing: The following two sheets are the contrast effect chart The image above is a designer before (Pictures are from the network, such as business please contact the original author.) ) The picture below is what it looks like to be a designer. Personal habits of the main body

Association Rule Mining (Association rule Mining) is one of the most active research methods in data mining, which can be used to find the connection between things, the first is to discover the relationship between different goods in the supermarket transaction database. (Beer and diapers) Basic concepts 1, the definition of support degree: supporting (x-->y) = | X intersection y|/n= the number of times/data records that appear in a record for the items in the collection x and set Y. For examp

State one: Hot days, to feed the baby more watermelon juice, did not expect, the evening baby's urine is so much that the baby's small buttocks appeared on the red Rash. • Care Attention: The most important thing is, always keep the baby's little fart dry, diapers to frequent exchange for frequent washing. If the baby loves to sweat, simply dump the diaper during the day and let the baby's little butt breathe. Baby after the toilet, to use warm wat

This tutorial introduces the method of creating a transparent background image for ps.it is very effective and difficult. it is worth learning and recommended, let's study together. when we make a PPT or use other office software to insert images, sometimes we just want to extract some part of the picture and change the background color to transparent, in order to integrate with our PPT background. Today, I will teach you how to make the background of an image transparent. if you don't, come and

project group. A k-itemset that satisfies the minimum support is called a high-frequency K-project group (frequent K-itemset), which is generally expressed as large k or frequent K. The algorithm then attempts to generate a project set large k+1 with a length of more than k from the large K project group until a longer high-frequency project group can no longer be found.The second phase of association rule mining is to generate association rules. Generating association rules from high-frequency

The 11th Chapter uses the Apriori algorithm to carry on the correlation analysisA LeadThe problem of "beer and diaper" belongs to the classic correlation analysis. In the retail industry, the pharmaceutical industry, etc. we often need to be related to analysis. The reason why we use correlation analysis is to find some interesting relationships from a large amount of data. These interesting relationships will provide a guiding role in our work and l