CiNii Articles - k-means

1

An Efficient Rope Deployment Method for Ropeway-type Monitoring by Camera Nodes [in Japanese]

勝間亮 , 小倉広大

… 視カメラで効率的にモニタリングを行うために，複数に分割されている監視対象領域をまとめて監視できる領域をクラスタリング方式で求め，ロープを設置する位置を決定する．シミュレーション実験により，提案手法では，一般的なクラスタリング手法であるk-means法を本問題に適合するよう拡張した手法と比べると，より少ない監視カメラで全監視領域をモニタリングできることが確認できた． …

情報処理学会論文誌 62(2), 455-464, 2021-02-15

IPSJ
2

Investigation of Blind OFDM Signal Separation using Frequency Domain ICA and Spectral Clustering [in Japanese]

丸山祐一 , 前川直志 , 布施匡章

電気学会研究会資料. LAV 2021(1-9), 39-42, 2021-01-21
3

Investigation of Blind OFDM Signal Separation using Frequency Domain ICA and Spectral Clustering [in Japanese]

丸山祐一 , 前川直志 , 布施匡章

電気学会研究会資料. IM = The papers of technical meeting on instrumentation and measurement, IEE Japan 2021(1-9), 39-42, 2021-01-21
4

Factors associated with mental health depending on the type of stress related to admission among correspondence course high school students in Japan [in Japanese]

HIRABE Masaki , TOGO Etsuko , FUJISHIRO Yumiko , KITAJIMA Masato , FUJIMOTO Masaki , TAKEHASHI Hiroki

… 精神健康度を計る指標として，Kessler 6（以下，K6）を用いた。 … 各群におけるK6得点に関わる要因を抽出したところ，すべての群で健康状態が強く関わっていた。 …

Nihon Koshu Eisei Zasshi(JAPANESE JOURNAL OF PUBLIC HEALTH), 2021

J-STAGE
5

Joint Multi-layered User Clustering and Scheduling for Ultra-dense RAN Using Distributed MIMO

TAKAHASHI Ryo , MATSUO Hidenori , ADACHI Fumiyuki

… The proposed joint multi-layered user clustering and scheduling consists of user clustering using the K-means algorithm, user-cluster layering (called multi-layering) based on the interference-offset-distance (IOD), cluster-antenna association on each layer, and layer-wise round-robin-type scheduling. …

IEICE Transactions on Communications, 2021

J-STAGE
6

Study on Fact-Finding Investigating of Falls using Interview Survey to The Hospitalized Patients Who Had Experienced Falls-Caused Hip Fractures [in Japanese]

Uchiyama Emiko , Takano Wataru , Nakamura Yoshihiko , Imaeda Shujirou , Son Bo-Kyung , Matsubara Takehiro , Iijima Katsuya

… We use k-means clustering method to confirm the validity of the labels attached to the interview data, and also confirmed the validity of the summaries of the interview data by interviewer researchers by focusing on the co-occurrence word analysis. …

Journal of the Robotics Society of Japan 39(2), 189-192, 2021

J-STAGE
7

A CLASSIFICATION ALGORITHM FOR TARGET AND NON-TARGET IMAGE FEATURE AREAS FOR SUPPROTING CONCRETE SURFACE INSPECTION [in Japanese]

WATANABE Daichi , FURUKI Hirokazu , MUNAKATA Shun , KOJIMA Hirohito

　本研究は，コンクリート表面点検支援を目的として，画像特徴領域内外の分類・解釈を担うアルゴリズム(TFCアルゴリズム)を提案したものである．画像が高分解能になる程，画像特徴別に教師データ選定が困難となる．この対策として，TFCアルゴリズムでは非階層型教師無し分類法を中核とし，クラス別重心ベクトルのノルム（電磁波反射率）に基づいて，画像特徴領域内外を分類する．高分解能画像に対する適 …

Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 77(2), I_1-I_12, 2021

J-STAGE
8

Study on cluster formation for distributed MU-MIMO

Xia Sijie , Ge Chang , Chen Qiang , Adachi Fumiyuki

… In this paper, we utilize K-means algorithm in clustering and propose two cluster member assignment (CMA) methods to assign corresponding DAs or users into user-clusters or antenna-clusters. …

IEICE Communications Express 10(3), 167-173, 2021

J-STAGE
9

A research for analysing characteristics of university baseball players using swing measurement unit [in Japanese]

TANAKA Shigenori , NARUO Takeshi , YAMAMOTO Yuhei , SAITO Rei

… In order to verify whether the swing characteristics of university baseball players can be properly classified, the swing data and batting performance data were classified individually using the k-means method. … As a result, when the swing characteristics and batting performance were classified into two cluster by the k-means method, the players could be classified with high accuracy. …

Transactions of the JSME (in Japanese) 87(894), 20-00240-20-00240, 2021

J-STAGE
10

A Static Video Summarization Approach for the Analysis of Cattle's Movement

SAITOH Tomoko , NAKAJIMA Mizuki , SAITOH Tsuyoshi

… This method uses no specialized hardware, and the captured video can be repeatedly analyzed offline with different ideas.In this paper, a video summarization technique based on the κ-means clustering algorithm was used to analyze calf movements on an experimental barn from the video. …

NIHON GAZO GAKKAISHI (Journal of the Imaging Society of Japan) 60(1), 9-16, 2021

J-STAGE
11

A graph coloring-based interference coordination algorithm for cluster-wise ultra-dense RAN

Ge Chang , Xia Sijie , Chen Qiang , Adachi Fumiyuki

Ultra-dense radio access network (RAN) with distributed multi-user multi-input multi-output (MU-MIMO) is considered as a promising approach to improve the coverage and link capacity. However, …

IEICE Communications Express 10(2), 99-104, 2021

J-STAGE
12

Few-Shot Domain Adaptation For Many Class Classification Using Commercial Products [in Japanese]

Takahashi Ryo , Sato Yuji , Furuyama Junko , Yamaoka Megumi , Tanabiki Masamoto , Aoki Yoshimitsu

… The results of our ablation study implies that i) the meta-class should be decided by using k-means clustering method rather than clustering manually, and that ii) the ratio between the number of normal-class and the number of meta-class should be fixed. …

Journal of the Japan Society for Precision Engineering 87(1), 78-82, 2021

J-STAGE
13

Morality-based Analysis of Viewer's Comments on Internet TV News Program [in Japanese]

Nishi Tomosato , Ogawa Yuki , Taka Fumiaki , Takano Masanori , Morishita Soichiro , Hattori Hiromitsu

… Second, the distributed expressions of viewer comments (calculated by Doc2Vec) were clustered by k-means++, and program trends were analyzed using the cluster characteristics. …

Transactions of the Japanese Society for Artificial Intelligence 36(1), WI2-E_1-9, 2021

J-STAGE
14

Generation of Characteristic Charts Based on Analyzing and Clustering Charts of Dance Games [in Japanese]

辻野雄大 , 山西良典 , 山下洋一 , 井本桂右

… づけられる．これらの要素によって，ダンスゲーム譜面の難しさおよび面白さに影響する特性が形成される．この特性を客観的かつ多次元で表現する特徴量を提案する．提案した特徴量に基づいてk-means法によるクラスタリングを実施し，特性が類似した譜面のクラスタを得る．クラスタごとに楽曲と譜面の関係を深層学習させることによって，クラスタの特性を備えた譜面の自動生成が可能となり …

情報処理学会論文誌 61(11), 1718-1728, 2020-11-15

IPSJ
15

Model for Labeling to Latent Factor by Silhouette Clustering Using Principal Component Distance Matrix [in Japanese]

大槻明

… リッド距離を求めて距離行列を作成し，この距離行列を対象にシルエット分析を用いたクラスタリングを行うことで潜在因子にラベル付けを行うクラスタリングモデルを考案した．本クラスタリングモデルは，k-meansのクラスタ数kを自動推定できるよう拡張したモデルであるため，因子分析だけに限らず距離行列を対象とした様々なクラスタリングにも応用可能なモデルである． …

情報処理学会論文誌データベース（TOD） 13(4), 1-12, 2020-10-09

IPSJ
16

Facial Image Processing in the Cosmetic Field [in Japanese]

田中敏幸 , 森勇人 , 嶽釜那月

画像ラボ 31(10), 37-41, 2020-10
17

A Machine Learning Based Approach for Travel Time Prediction on Roadways with Missing Vehicle Detector Data in Unusual Traffic Flows [in Japanese]

織田利彦

電気学会研究会資料. ITS 2020(20-22), 9-14, 2020-09-08
18

Development of an Autonomous Mobile Robot Doing Self-Position Estimation and Road Region Search

Iwata Naokazu , Tan Joo Kooi

This paper proposes an autonomous mobile robot expected to realize an intelligent robot that supports a human life. The proposed mobile robot has three main functions; self-position estimation, road r …

Journal of Advances in Artificial Life Robotics 1(2), 100-104, 2020-09

IR
19

Semi-automatic Labeling Method for Image Data using k-means and k-NN Methods [in Japanese]

岩﨑清斗 , 棚本侑宏 , 伏見卓恭 , 大久保誠也 , 斉藤和巳

知識ベースシステム研究会 120, 11-16, 2020-08-28
20

CLOTHING CLASSIFICATION USING CNN AND SHOPPING MALL SEARCH SYSTEM

PARK SUNGHWAN , SUH YERYOUNG , LEE JAEWOO

ICIC express letters. Part B, Applications : an international journal of research and surveys 11(8), 773-780, 2020-08

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