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Q: Hierarchical clustering of 1-dimensional signals I have a question that seems like it should be easy, but I can’t find a good answer. I have a 1-dimensional array of numbers, in fact I think this is one of the examples in the documentation for hierarchical clustering. (I could just as easily be referring to a matrix.) I want to group these 1-dimensional numbers together and then have a way to get the matrix back into my old form. What I want is something like: [0 0 1 0] [1 0 0 0] [0 0 0 1] … This would be the result for the example in the documentation, where the array is divided into 5 clusters: Each column would be one cluster, where the rows represent each entry. The distance between 1 and 2 is small, the distance between 0 and 1 is much larger. I’m sure this is trivial, but I’ve tried a number of different things in matlab with clustering and I can’t figure it out. I have an idea how this could work using a cutoff value. I could set a minimum distance to all-ones, all-zeros and then the rest as clusters. But I’m sure there’s a much more efficient way to do it. Any thoughts? A: I would do the following: First, sort your data in ascending order. Let n be the number of clusters for which you want an assignment. Determine the number of samples k = floor(n/2) Assign each sample to a cluster Update the clusters based on the positions of the samples. For step 2 (determine the number of clusters) you can use k-means clustering to determine the number of clusters. For details see e.g. In the end you obtain something like [0 0 1 0] [1 0 0 0] [0 0 0 1] [0 1 0 0] [0 0 0 0] which is the way you wrote it. If you want to have it more compactly like a matrix or 2-D array, you can simply write [1 1 0 0] [0 0 1 0] [0
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// Copyright 2016 the V8 project authors. All rights reserved. // Use of this source code is governed by a BSD-style license that can be // found in the LICENSE file. #ifndef V8_SNAPSHOTS_SNAPSHOT_H_ #define V8_SNAPSHOTS_SNAPSHOT_H_ #include #include #include “src/base/memory/heap_allocator.h” #include “src/base/macros.h” #include “src/common/globals.h” namespace v8 { namespace internal { class CommandLineFlags; class Snapshot { public: Snapshot(v8::base::AddressSpace* address_space) : status_(Smi::FromInt(kDummyStatus)) {} void SetPauseOnAllThreads(bool value); // Save a raw snapshot to a file. void Save(const base::StringPiece path); // Represents a status from v8::internal::Snapshot::kSuccess. static const int kDummyStatus = 0; int status() const { return status_.value(); } private: template static void SaveIfDefined(const base::StringPiece path, const T& status, const base::StringPiece& name) { const std::string name_str = base::ToLowerASCII(name.data()); std::string str = GetSnapshotHeader(name_str) + “: ” + base::IntToString(status.value()) + ” names: “; for (T& name : status.names()) { str += name; str += ” “; }
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