data structures and algorithm analysis in java

Basic use of RapidMiner (a simple decision tree algorithm analysis of a medical data)Files that need to be analyzed:Right-click to create a few processes that read Excel data, select Properties, set objects, decision tree algorithms, and then connect themRead Excel data: "In

LG (n)) Time//not adaptive#define CUT 3element Type MEDIAN3 (ElementType a[],int left, int right) {int center = (left +right)/2;if (A[left]>a[center]) swap (a[left ],a[center]), if (A[left]>a[right]) swap (a[left],a[right]), if (A[center]>a[right]) swap (A [Center],a[right]); swap (a[center],a[right-1]); return a[right-1];} void Qsort (ElementType A[],int left, int. right) {int. I,j;elementtype pivot;if (left + cutTo be continued .....Summary:Bubbling and inserting is to slowly find the largest

and Makeempty are omitted */ #endif/* _hashquad_h * * FileName: hashquad.c #include "hashquad.h" #include "fatal.h" #define Mintablesize (a) enum Kindofentry {legitimate, Empty, Deleted}; struct Hashentry {ElementType Element; Enum Kindofentry Info; }; typedef struct HASHENTRY Cell; /* Cell *thecells'll be is an array of */* hashentry cells, allocated later/struct HASHTBL {int tablesize; Cell *thecells; }; /* return next prime; Assume n >=/static int nextprime (int N) {int i; if (N%

) { if(Left Right ) { intdata =quickpartition (datas, left, right); Sortquick (Datas, left, data-1); Sortquick (datas, Data+ 1, right); } returndatas; } 1. Bubbling algorithm, 2. Select algorithm, 3. Fast algorithm. 4. Insert

Data structure and algorithm analysis-queue (single-linked list implementation)#include Stdio.H>#include Stdlib.H>typedef int ELEMENTTYPE;TYPEDEF struct HEADNODE*Queue; typedef struct NODE*Position;struct Node {ElementTypeData; Position next;}; struct headnode{int size; Position Front; position rear;};//Headnode is a use-head mark, next point-to-follow node

Data structure: The organization of a large number of methods;Algorithm Analysis: Estimating the running time of the algorithm. involves computational efficiency.Imagine, wouldn't it be amazing if you could reduce the time limit from 16 to less than 1 seconds?One of the important ideas in many issues is that it is not

Data structure + algorithm = ProgramLogical Structure: Set, linear, tree, graphPhysical Structure：sequential, chain- Algorithm Analysis: (progressive) complexity of time : number of executions of the base statement(Basic statement: A statement that is proportional to the number of execution times of

; Case 5: if(*x-2>=0 *y+11 chess[*x-2][*y+1]==0) { *x=*x-2; *y=*y+1; return 1; } Break; Case 6: if(*x-1>=0 *y-2>=0 chess[*x-1][*y-2]==0) { *x=*x-1; *y=*y-2; return 1; } Break; Case 7: if(*x-1>=0 *y+21 chess[*x-1][*y+2]==0) { *x=*x-1; *y=*y+2; return 1; } Break; default: Break; } return 0;}intTravelchessboard (intXintYintTag/*Depth Fi

# Analysis of-M1 card data algorithm for a water meter# # Card Data-----------------------------Sector Data | Amount:--- |:---13EC 0000 0000 0000 0000 0000 03EB BD1B | 51.0013E7 0000 0000 0000 0000 0000 03f0 AD2B | 50.9513E2 0000 0000 0000 0000 0000 03f5 AD2B | 50.8513DD 000

slower, but fortunately, the complexity of the time is the same. So how to choose, refer to the above two ways, make a compromise choice.What are the best practices for Java?In the Java Data Collection framework, a randomaccess interface is provided that has no methods, just a token. is typically used by the implementation of the list interface to mark whether t

Data structure and algorithm analysis-stack (single-linked list implementation)//by Xiabodan#include #include typedef intElementType;typedef structNode *Stack;typedef structNode *position;structNode {ElementType data; Position next;};intIsEmptyStackS);voidDelete_stack (StackS);StackCreate_stack (void); ElementType Top

properties can be processed3, high computational complexity (such as the number of samples of known classification is n, then to each unknown classification point to calculate n distance)Problems with KNN algorithm:1, the determination of K value is a difficult problem.2, if the nearest K-known classification samples, the highest frequency of the type has multiple (the same frequency), how to choose the Unknown sample classification? At the moment, i

Topic One: single-Link table transpose without head node, algorithm time complexity O (N)The code is as follows :structLnode;typedefstructLnode *List;typedefstructLnode *Position;structlnode{ElementType Elem; Position next;};/*Headless node single-linked list transpose*/list reversion (list L) {Position previouspos, currentpos, Nextpos; Previouspos=nullptr; Currentpos=L; Nextpos= l->Next; while(Nextpos! =nullptr) {Currentpos->next =Previouspos; Previ

: Specify the appropriate R and M;STEP2: calculates all the sample points, if there are more than M points in the R neighborhood of the point P, creates a new cluster with p as the core point; Step3: repeatedly looking for points in which the core points are directly dense (which can then be density), adding them to the corresponding clusters, For clusters with a "density-connected" condition at the core point, a merge Step4 is given: When no new points can be added to any cluster, the end of th

Here is a summary of the hash table after reading the introduction to the algorithm: Hash table is also called hash list, which is an effective data structure to implement dictionary operation. Hash tables are highly efficient and can be accessed once without a conflict (described later), and in an ideal case, the average time to find an element is O (1) (the worst-case hash list finds an element in the sam

far left and still not find a smaller data than pivot while(Rightpoint>left array[--rightpoint]>pivot); //left and right pointers overlap or intersect if(Leftpoint >=rightpoint) { Break; }Else{ //swap big and right small data on the leftswap (Leftpoint,rightpoint); } } //returns the cutoff point, which is the leftmost point in the right s

structure, common is the array, need a piece of contiguous memory, chained storage structure, do not need contiguous memory, but the previous data object needs to correlate the memory address of the next data object.Second, ListList, translated is "linked list", the logical structure of the list is a linear structure, the physical structure can be the order can also be chained.In the

Implements the selection sort, insert sort, bubble sort, quick sort, improved quick sort, and two-way merge sort.Random functions randomly generate 100 numbers, make various sorts, record sort start time and end time, calculate the time consumed to compare the algorithm's advantage.Implementation code:#include "iostream" #include "Cstdio" #include "CString" #include "algorithm" #include "queue" #include "stack" #include " Cmath "#include" utility "#in

The Aho-corasick algorithm is referred to as the AC algorithm, by preprocessing the pattern string to determine the finite state automata, the scanned text can be finished again. Its complexity is O (n), which is independent of the number and length of the pattern string. The mind automata accepts characters in the order of text characters, and the state transitions occur. These states cache the "Success by

; the } * $ /*Select the k largest in the array*/Panax Notoginseng int Select(intArr[],intNintk) - { the int*tmp; + intI, J, ret; A theTMP = (int*)malloc(sizeof(int) *k); +tmp[0] = arr[0]; - for(i =1; I //read k elements and sort in descending order $ { $Tmp[i] =Arr[i]; - for(j = i; j >0; j--) - { the if(Arr[i] > Tmp[j-1]) - {WuyiTMP[J] = tmp[j-1]; theTmp[j-1] =Arr[i]; - } Wu } - } About $ for(i = k; i //r