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Partition Algorithm
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Lecture Data structures and Algorithms: Week 11 (Lesson 11). This lesson provides students with content about: quicksort algorithm; quick sort (hoare); partitioning array; partition result; recursion quicksort subarrays; combination of quick sort and insertion sort;... Please refer to the detailed content of the lecture!
14p
codabach1016
03-05-2024
0
0
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Bài giảng "Lưu trữ và xử lý dữ liệu lớn: Chương 4 - Cơ sở dữ liệu phi quan hệ NoSQL (Phần 2)" trình bày các nội dung chính sau đây: Kiến trúc hệ thống dữ liệu, thuật toán phân vùng, đồng bộ bản sao, phiên bản dữ liệu,... Mời các bạn cùng tham khảo!
16p
gaupanda025
09-04-2024
4
2
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In this paper will introduce an algorithm, which can improve the results of data partitioning with reliability and multiple fuzzifier. This algorithm is named TSSFC. The introduced method includes three steps namely as “labeled data with FCM”, “Data transformation”, and “Semi supervised fuzzy clustering with multiple point fuzzifiers”.
10p
visharma
20-10-2023
8
4
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Distributed Database Management Systems: Lecture 15. The main topics covered in this chapter include: PHF- Minimality of Pr; PHF-COM-MIN algorithm; primary horizontal partitioning algorithm; derived horizontal fragmentation (DHF);...
36p
haoasakura
30-05-2022
15
3
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Advanced Algorithms Analysis and Design - Lecture 38: Number theoretic algorithms (Definitions and some important results). In this lecture we will cover the following: applications of number theory; divisibility; numbers; prime numbers; relatively prime numbers; GCD; partitioning of Integers; congruency classes; proofs of some results;...
38p
andromedashun
26-05-2022
8
1
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In this lecture, you find clear explanations of Quicksort. The main contents of this lecture include all of the following: Partition Algorithm, Quick Sort Example, Analysis of Quicksort, Worst Case Analysis of Quick Sort, Average-case Analysis of Quicksort.
29p
youzhangjing_1909
28-04-2022
9
3
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The main contents of Lecture Design and Analysis of Algorithms: Lecture 10 include all of the following: Medians and selection, partitioning, medians and selection, select algorithm, steve technique.
16p
youzhangjing_1909
28-04-2022
14
1
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Lecture Compiler construction: Lesson 43 - Sohail Aslam. The main topics covered in this chapter include: control flow graph - CFG, basic blocks, sequence of consecutive statements with single entry/single exit, generating CFGs, algorithm partition into basic blocks, basic block code generation,...
31p
youzhangjing_1909
28-04-2022
14
1
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We describe a methodology for partitioning scRNA-seq datasets into metacells: disjoint and homogenous groups of profiles that could have been resampled from the same cell. Unlike clustering analysis, our algorithm specializes at obtaining granular as opposed to maximal groups.
19p
vielonmusk
30-01-2022
12
0
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In this paper, a hyper-heuristic approach was presented for tuning the hyper parameters of recursive and partition trees (Rpart), which is a typical implementation of CART in statistical and data analytics package R. The study employed an evolutionary algorithm as hyper-heuristic for tuning the hyper parameters of the decision tree classifier.
28p
spiritedaway36
28-11-2021
9
2
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Lecture Analysis of Algorithms - Lesson 05: Quicksort present the content: quicksort has a couple of other differences from merge sort, the subarrays array, linear-time partitioning, the elements in array,...
16p
bachdangky
06-09-2021
13
1
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Identification of transcription factor binding sites (also called ‘motif discovery’) in DNA sequences is a basic step in understanding genetic regulation. Although many successful programs have been developed, the problem is far from being solved on account of diversity in gene expression/regulation and the low specificity of binding sites.
14p
viwyoming2711
16-12-2020
18
1
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The locations of the TM segments inside the membrane proteins are the consequence of a cascade of several events: the localizing of the nascent chain to the membrane, its insertion through the translocon, and the conformation adopted to reach its stable state inside the lipid bilayer.
7p
vikentucky2711
26-11-2020
10
3
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RNA pseudoknots play important roles in many biological processes. Previous methods for comparative pseudoknot analysis mainly focus on simultaneous folding and alignment of RNA sequences. Little work has been done to align two known RNA secondary structures with pseudoknots taking into account both sequence and structure information of the two RNAs.
15p
vikentucky2711
26-11-2020
10
1
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Workflows, or computational pipelines, consisting of collections of multiple linked tasks are becoming more and more popular in many scientific fields, including computational biology. For example, simulation studies, which are now a must for statistical validation of new bioinformatics methods and software, are frequently carried out using the available workflow platforms.
19p
vikentucky2711
24-11-2020
14
1
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In this paper, we consider a new scenario for privacy-preserving data mining called two-part partitioned record model (TPR) and find solutions for a family of frequency-based learning algorithms in TPR model. In TPR, the dataset is distributed across a large number of users in which each record is owned by two different users, one user only knows the values for a subset of attributes and the other knows the values for the remaining attributes.
18p
tamynhan8
04-11-2020
9
1
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Bayesian clustering algorithms, in particular those utilizing Dirichlet Processes (DP), return a sample of the posterior distribution of partitions of a set. However, in many applied cases a single clustering solution is desired, requiring a ’best’ partition to be created from the posterior sample.
10p
viconnecticut2711
28-10-2020
13
1
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Clustering methods are essential to partitioning biological samples being useful to minimize the information complexity in large datasets. Tools in this context usually generates data with greed algorithms that solves some Data Mining difficulties which can degrade biological relevant information during the clustering process.
7p
vijisoo2711
27-10-2020
13
1
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The following will be discussed in this chapter: NP-Hard and NP-Complete problems, 3SAT, Super Mario Brothers, 3 Dimensional Matching (3DM), Subset Sum, Partition, Rectangle Packing, Jigsaw Puzzles.
9p
nanhankhuoctai3
25-05-2020
10
2
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Lecture Design and Analysis of Algorithms - Lecture 17: Approximation Algorithms. The following will be discussed in this chapter: approximation algorithms and schemes, partition, natural vertex cover approximation.
8p
nanhankhuoctai3
25-05-2020
23
1
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