What are the disadvantages of using K - Means clustering (select all that apply)?   Group of answer choices a. Choosing k value manually b. It is often slow c. It highly depends on Initial values d. Clustering outliers

Q: Review that a change of length n is a cluster comprising of n unmistakable integers from 1 to n in…

A: Here have to determine about the Special Permutation programming problem statement.

Q: Imagine that you have access to a database with the names and x, y locations of many different…

A: Hi.. Pls check your answer below.

Q: Explain Minimum Fill-in Excluding One Neighbor (MFEO1) with help of pseudo code.

A: Minimum Fill-in Excluding One Neighbor (MFEO1) :-

Q: Design Merge Sort algorithm using divide and conquer approach. Compute it complexity using…

A: C Code:   #include <stdio.h>void mergeSt(int arr[], int p, int r){    int q;    if(p < r)…

Q: Explain The Rank-Maximal Matching Algorithm .

A: The Rank-Maximal Matching Algorithm-The maximum number of candidates are matched to their second…

Q: What if you divided into thirds, sorted each third, then combined using a 3-way merge instead of…

A: Sorting is an essential algorithmic task that arises in a broad range of applications. It involves…

Q: Thanks for the help. This explaines a good bit. I understand the part about omega(n), since that…

A: An algorithm can be defined as it is a system used for solving a problem or acting in a computation.…

Q: The Depth-first search is not optimal if limit is greater than depth. Select one: True False

A: In DFS the traversal of the tree is done in the following way i.e. “deepest node first”, here the…

Q: How does quicksort work? We discussed about pivot selection approaches. Discuss about these…

A: Quick sort works: The large array is partitioned into two arrays one of which holds smaller than the…

Q: will probably track down the length of the longest subarray of this cluster with the end goal that…

A: Here have to determine about the Frequency Problem  programming problem statement.

Q: What is the worst case of merge algorithm (Basic operation: Comparison)? Which type of input? Why?…

A: The worst case of merge sort algorithm

Q: Regression: what is it? How will u run all regression suite if u have less time?

A: In this question we have to understand regression and How to run all regression suite with in less…

Q: Suppose you want to find the median of the following dataset: | 26 15 39 13 11 19 27 225 14 7 29 221…

A: Answer: Our instruction is answer the first three part from the first part. I have given answered in…

Q: Implement an iterative algorithm (k-means) in Spark to calculate k-means fora set of points that are…

A: IntroductionThe k-means clustering algorithm is a popular method for partitioning a dataset into k…

Q: What’s does the Welch’s t test result means for two different groups? Welch’s t test result =…

A: The two-sample t-test (also known as the independent samples t-test) is a method used to test…

Q: Q1. Specifying number of cluster can be made using which of the following methods?   Group of…

A: Answer 1:Specifying number of cluster can be made using Partitioning data into training and…

Q: Briefly explain how the map-reduce technique works using a simple application example.

A: Dear Student, The answer to your question is given below -

Q: How to show HALT TM (Tm here as index letters to HALT) is undecidable without using reduction.…

A: HALTTM is Turing-conspicuous since it very well may be perceived by TM U. HALTTM isn't…

Q: Explain how random forest is used for similarity measure.

A: A random forest is a machine learning technique for solving classification and regression problems.…

Q: How would you test the impact of an outlier?

A: According to the question Excess value outliers deviate from other observations in the data, which…

Q: in python

A: This algorithm is used to solve the classification model problems. K-nearest neighbor or K-NN…

Q: 2. Calculate the time complexity for the recurrence of T (n) = 3T (n/3) + n/2. [explane step by…

A: Given recurrence relation is  T(n)= 3T(n/3) + n/2

Q: Create an implementation of mergesort that uses k-way merges rather than 2-way merges. Analyse your…

A: Mergesort is a common divide-and-conquer method for sorting an array by splitting it recursively…

Q: How many comparisons would you do if you merged 4 sorted lists together each size n/4.   show each…

A: In merge sort, if there are two array of m elements and n elements then we need m+n-1 comparisons in…

Q: What are some of the strengths of Hierarchical Clustering ? Group of answer choices a. We do not…

A: Since hierarchical clustering is an unsupervised learning process, the number of clusters does not…

Q: List L = A, B, N, M, P, R, quickly sorted. What conclusions have you drawn? How may the observations…

A: Sorting algorithms are fundamental concepts in computer science, as they provide a way to organize…

Q: Uniform Cost Search is optima if the step cost is positive Select one: True False

A: Uniform cost search is the best solution for search problem. It basically doesn't involve the…

Q: In merge sort, the merging step takes O(n) time which is based on the assumption that comparing two…

A: Dear Student, The answer to your question is given below -

Q: For building random forest how do we prepare the input data? What are the methods for doing that?…

A: ANSWER: Random Forest: Random forests or randomly selected forests are a learning strategy for…

Q: Assume in K-Means algorithm, we assign three centers c1, c2 and c3 for three clusters. We usually…

A: K-Means Clustering is an unsupervised learning algorithm that is used to solve the clustering…

Q: Regarding auxiliary space and time complexity, what is the level of demand for randomised quick…

A: Popular sorting algorithm Randomized Quick Sort is renowned for its effectiveness and average-case…

Q: Andre has quite certain preferences. As of late he began becoming hopelessly enamored with clusters.…

A: Here have to determine about the Specific Tastes of Andre  programming problem statement.

Q: o write some code: Cluster MNIST with k-means (you know optimal k already). Assign a label to each…

A: I have given the code:

Q: Explain of each detail of this code : import numpy as np import pandas as pd from sklearn.cluster…

A: #Here we import numpy and pandas that adds support for large, multi-dimensional arrays and matrices,…

Q: Run mergesort for huge random arrays and determine empirically, as a function of N (the total of the…

A: We can carry out the following actions to find the average length of the other subarray after the…

Q: figure? A - 0 0 7,

A: The given problem is related to Matlab programming where the matrix is to be declared having 3 rows…

Q: might have been a simple undertaking, yet it worked out that you ought to observe a few guidelines:…

A: Here have to determine about the  Array Destruction programming problem statement.

Q: ; Solving Recurrence Relations Draw the recursion tree for T(n) = 3T(Ln/2J) + cn, where c is a…

A: Answer is given below .

Q: Question 11. The number of steps taken for searching the value r in a binary tree with n nodes .. a)…

A: As per the guideline we can answer upto three question.   Question 11. The number of steps taken for…